83 files changed, 214 insertions, 92 deletions
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/COP.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/COP.java
index 7f43796b..d2ba2160 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/COP.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/COP.java
@@ -83,6 +83,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * </p>
  *
  * @author Erich Schubert
+ * @since 0.2
  *
  * @param <V> the type of NumberVector handled by this Algorithm
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/DWOF.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/DWOF.java
index a3e9e1d2..51ca8848 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/DWOF.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/DWOF.java
@@ -90,6 +90,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * </p>
  *
  * @author Omar Yousry
+ * @since 0.6.0
  *
  * @param <O> the type of DatabaseObjects handled by this Algorithm
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/GaussianModel.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/GaussianModel.java
index 25a776e0..4f6ba095 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/GaussianModel.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/GaussianModel.java
@@ -56,6 +56,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag;
  * <em>probability density</em> of the assumed distribution.
  * 
  * @author Lisa Reichert
+ * @since 0.3
  * 
  * @param <V> Vector type
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/GaussianUniformMixture.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/GaussianUniformMixture.java
index cb170573..190bbb55 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/GaussianUniformMixture.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/GaussianUniformMixture.java
@@ -74,6 +74,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter;
  * </p>
  *
  * @author Lisa Reichert
+ * @since 0.3
  *
  * @param <V> Vector Type
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/OPTICSOF.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/OPTICSOF.java
index 484736bb..ccde20eb 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/OPTICSOF.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/OPTICSOF.java
@@ -72,6 +72,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * and Data Mining (PKDD), Prague, Czech Republic
  *
  * @author Ahmed Hettab
+ * @since 0.3
  *
  * @apiviz.has KNNQuery
  * @apiviz.has RangeQuery
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/OutlierAlgorithm.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/OutlierAlgorithm.java
index 6d671cd0..fff0310c 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/OutlierAlgorithm.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/OutlierAlgorithm.java
@@ -31,6 +31,7 @@ import de.lmu.ifi.dbs.elki.result.outlier.OutlierResult;
  * Generic super interface for outlier detection algorithms.
  * 
  * @author Erich Schubert
+ * @since 0.4.0
  *
  * @apiviz.landmark
  * @apiviz.excludeSubtypes
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/SimpleCOP.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/SimpleCOP.java
index 6b8f645d..271d0467 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/SimpleCOP.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/SimpleCOP.java
@@ -70,6 +70,8 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * Algorithm to compute local correlation outlier probability.
  * 
  * This is the simpler, original version of COP, as published in
+ * 
+ * Reference:
  * <p>
  * Arthur Zimek<br />
  * Correlation Clustering.<br />
@@ -78,10 +80,13 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * which has then been refined to the method published as {@link COP}
  * 
  * @author Erich Schubert
+ * @since 0.5.5
  * @param <V> the type of NumberVector handled by this Algorithm
  */
 @Title("Simple COP: Correlation Outlier Probability")
-@Reference(authors = "Arthur Zimek", title = "Correlation Clustering. PhD thesis, Chapter 18", booktitle = "")
+@Reference(authors = "Arthur Zimek", //
+title = "Correlation Clustering", //
+booktitle = "PhD thesis, Chapter 18")
 public class SimpleCOP<V extends NumberVector> extends AbstractDistanceBasedAlgorithm<V, OutlierResult> implements OutlierAlgorithm {
   /**
    * The logger for this class.
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/anglebased/ABOD.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/anglebased/ABOD.java
index a78f76c9..946c94ad 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/anglebased/ABOD.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/anglebased/ABOD.java
@@ -75,6 +75,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  *
  * @author Matthias Schubert (Original Code)
  * @author Erich Schubert (ELKIfication)
+ * @since 0.2
  *
  * @param <V> Vector type
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/anglebased/FastABOD.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/anglebased/FastABOD.java
index 88a606d5..5ff844a5 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/anglebased/FastABOD.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/anglebased/FastABOD.java
@@ -75,6 +75,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  *
  * @author Matthias Schubert (Original Code)
  * @author Erich Schubert (ELKIfication)
+ * @since 0.6.0
  *
  * @param <V> Vector type
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/anglebased/LBABOD.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/anglebased/LBABOD.java
index 945d3d46..cb0e4114 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/anglebased/LBABOD.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/anglebased/LBABOD.java
@@ -82,6 +82,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  *
  * @author Matthias Schubert (Original Code)
  * @author Erich Schubert (ELKIfication)
+ * @since 0.6.0
  *
  * @param <V> Vector type
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/clustering/EMOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/clustering/EMOutlier.java
index fc33d88f..62f492e3 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/clustering/EMOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/clustering/EMOutlier.java
@@ -43,6 +43,7 @@ import de.lmu.ifi.dbs.elki.result.Result;
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierResult;
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta;
 import de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore;
+import de.lmu.ifi.dbs.elki.utilities.Alias;
 import de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil;
 import de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy.Iter;
 import de.lmu.ifi.dbs.elki.utilities.documentation.Description;
@@ -57,6 +58,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameteriz
  * object is an outlier.
  * 
  * @author Lisa Reichert
+ * @since 0.3
  * 
  * @apiviz.has EM
  * 
@@ -65,6 +67,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameteriz
 // TODO: re-use an existing EM when present?
 @Title("EM Outlier: Outlier Detection based on the generic EM clustering")
 @Description("The outlier score assigned is based on the highest cluster probability obtained from EM clustering.")
+@Alias("de.lmu.ifi.dbs.elki.algorithm.outlier.EMOutlier")
 public class EMOutlier<V extends NumberVector> extends AbstractAlgorithm<OutlierResult> implements OutlierAlgorithm {
   /**
    * The logger for this class.
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/clustering/KMeansOutlierDetection.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/clustering/KMeansOutlierDetection.java
index 4db56748..b4a7b44c 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/clustering/KMeansOutlierDetection.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/clustering/KMeansOutlierDetection.java
@@ -67,6 +67,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * publication list</a> for citation information and BibTeX templates).
  * 
  * @author Erich Schubert
+ * @since 0.7.0
  * 
  * @apiviz.has KMeans
  * 
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/clustering/SilhouetteOutlierDetection.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/clustering/SilhouetteOutlierDetection.java
index 34600968..a4a3d7f1 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/clustering/SilhouetteOutlierDetection.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/clustering/SilhouetteOutlierDetection.java
@@ -74,6 +74,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * for citation information and BibTeX templates).
  * 
  * @author Erich Schubert
+ * @since 0.7.0
  * 
  * @apiviz.has ClusteringAlgorithm
  * 
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/AbstractDBOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/AbstractDBOutlier.java
index 6a7a2922..7d7fc950 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/AbstractDBOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/AbstractDBOutlier.java
@@ -53,6 +53,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter;
  * </p>
  * 
  * @author Lisa Reichert
+ * @since 0.3
  * 
  * @param <O> the type of DatabaseObjects handled by this Algorithm
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/DBOutlierDetection.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/DBOutlierDetection.java
index bee17874..d9e705d8 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/DBOutlierDetection.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/DBOutlierDetection.java
@@ -62,6 +62,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter;
  * 3.1.
  *
  * @author Lisa Reichert
+ * @since 0.3
  *
  * @apiviz.has KNNQuery
  *
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/DBOutlierScore.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/DBOutlierScore.java
index e1775bad..354057a4 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/DBOutlierScore.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/DBOutlierScore.java
@@ -54,6 +54,7 @@ import de.lmu.ifi.dbs.elki.utilities.documentation.Title;
  * </p>
  *
  * @author Lisa Reichert
+ * @since 0.3
  *
  * @apiviz.has RangeQuery
  *
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/HilOut.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/HilOut.java
index c748c832..35fe19e0 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/HilOut.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/HilOut.java
@@ -85,6 +85,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * 
  * @author Jonathan von Brünken
  * @author Erich Schubert
+ * @since 0.5.0
  * 
  * @apiviz.composedOf HilbertFeatures
  * @apiviz.uses HilFeature
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/KNNOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/KNNOutlier.java
index 649ea088..41653ac3 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/KNNOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/KNNOutlier.java
@@ -73,6 +73,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * </p>
  *
  * @author Lisa Reichert
+ * @since 0.3
  *
  * @apiviz.has KNNQuery
  *
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/KNNWeightOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/KNNWeightOutlier.java
index 3aeb6da2..5b92cef5 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/KNNWeightOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/KNNWeightOutlier.java
@@ -81,6 +81,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * </p>
  *
  * @author Lisa Reichert
+ * @since 0.3
  *
  * @apiviz.has KNNQuery
  *
@@ -125,7 +126,7 @@ public class KNNWeightOutlier<O> extends AbstractDistanceBasedAlgorithm<O, Outli
     final DistanceQuery<O> distanceQuery = database.getDistanceQuery(relation, getDistanceFunction());
     KNNQuery<O> knnQuery = database.getKNNQuery(distanceQuery, k + 1); // + query point
 
-    FiniteProgress prog = LOG.isVerbose() ? new FiniteProgress("Compute kNN weights.", relation.size(), LOG) : null;
+    FiniteProgress prog = LOG.isVerbose() ? new FiniteProgress("Compute kNN weights", relation.size(), LOG) : null;
 
     DoubleMinMax minmax = new DoubleMinMax();
     WritableDoubleDataStore knnw_score = DataStoreUtil.makeDoubleStorage(relation.getDBIDs(), DataStoreFactory.HINT_STATIC);
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/LocalIsolationCoefficient.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/LocalIsolationCoefficient.java
index 33450eb1..034f6af2 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/LocalIsolationCoefficient.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/LocalIsolationCoefficient.java
@@ -68,6 +68,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * </p>
  *
  * @author Erich Schubert
+ * @since 0.3
  *
  * @apiviz.has KNNQuery
  *
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/ODIN.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/ODIN.java
index e249e543..534f2be1 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/ODIN.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/ODIN.java
@@ -65,6 +65,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * </p>
  *
  * @author Erich Schubert
+ * @since 0.6.0
  *
  * @param <O> Object type
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/ReferenceBasedOutlierDetection.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/ReferenceBasedOutlierDetection.java
index cf184221..304474a3 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/ReferenceBasedOutlierDetection.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/ReferenceBasedOutlierDetection.java
@@ -81,6 +81,7 @@ import de.lmu.ifi.dbs.elki.utilities.referencepoints.ReferencePointsHeuristic;
  *
  * @author Lisa Reichert
  * @author Erich Schubert
+ * @since 0.3
  *
  * @apiviz.composedOf ReferencePointsHeuristic
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/parallel/KNNWeightProcessor.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/parallel/KNNWeightProcessor.java
index 60ebcd8b..3de88864 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/parallel/KNNWeightProcessor.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/parallel/KNNWeightProcessor.java
@@ -37,6 +37,7 @@ import de.lmu.ifi.dbs.elki.parallel.variables.SharedObject;
  * Needs the k nearest neighbors as input, for example from {@link KNNProcessor}
  * 
  * @author Erich Schubert
+ * @since 0.7.0
  */
 public class KNNWeightProcessor extends AbstractDoubleProcessor {
   /**
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/parallel/ParallelKNNOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/parallel/ParallelKNNOutlier.java
index 3b4c17f1..96c70b60 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/parallel/ParallelKNNOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/parallel/ParallelKNNOutlier.java
@@ -76,6 +76,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * </p>
  * 
  * @author Erich Schubert
+ * @since 0.7.0
  * 
  * @apiviz.composedOf KNNProcessor
  * @apiviz.composedOf KDistanceProcessor
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/parallel/ParallelKNNWeightOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/parallel/ParallelKNNWeightOutlier.java
index 571c2038..7f86e48f 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/parallel/ParallelKNNWeightOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/distance/parallel/ParallelKNNWeightOutlier.java
@@ -76,6 +76,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * </p>
  * 
  * @author Erich Schubert
+ * @since 0.7.0
  * 
  * @apiviz.composedOf KNNWeightProcessor
  * 
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/intrinsic/IDOS.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/intrinsic/IDOS.java
index b462b836..442a96a1 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/intrinsic/IDOS.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/intrinsic/IDOS.java
@@ -70,6 +70,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * </p>
  *
  * @author Jonathan von Brünken
+ * @since 0.7.0
  * @author Erich Schubert
  *
  * @param <O> Object type
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/intrinsic/IntrinsicDimensionalityOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/intrinsic/IntrinsicDimensionalityOutlier.java
index 1b2d25ef..04679930 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/intrinsic/IntrinsicDimensionalityOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/intrinsic/IntrinsicDimensionalityOutlier.java
@@ -63,6 +63,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * Please see their upcoming publications for an improved solution.
  *
  * @author Erich Schubert
+ * @since 0.3
  *
  * @param <O> Object type
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/ALOCI.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/ALOCI.java
index f7edae0f..e0fefe2d 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/ALOCI.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/ALOCI.java
@@ -55,6 +55,7 @@ import de.lmu.ifi.dbs.elki.math.random.RandomFactory;
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierResult;
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta;
 import de.lmu.ifi.dbs.elki.result.outlier.QuotientOutlierScoreMeta;
+import de.lmu.ifi.dbs.elki.utilities.Alias;
 import de.lmu.ifi.dbs.elki.utilities.documentation.Description;
 import de.lmu.ifi.dbs.elki.utilities.documentation.Reference;
 import de.lmu.ifi.dbs.elki.utilities.documentation.Title;
@@ -67,27 +68,31 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.RandomParameter;
 
 /**
  * Fast Outlier Detection Using the "approximate Local Correlation Integral".
- * 
+ *
  * Outlier detection using multiple epsilon neighborhoods.
- * 
+ *
  * Reference:
  * <p>
- * S. Papadimitriou, H. Kitagawa, P. B. Gibbons and C. Faloutsos:<br />
- * LOCI: Fast Outlier Detection Using the Local Correlation Integral.<br />
- * In: Proc. 19th IEEE Int. Conf. on Data Engineering (ICDE '03), Bangalore,
- * India, 2003.
+ * S. Papadimitriou, H. Kitagawa, P. B. Gibbons and C. Faloutsos: <br />
+ * LOCI: Fast Outlier Detection Using the Local Correlation Integral. <br />
+ * In: Proc. 19th IEEE Int. Conf. on Data Engineering (ICDE '03)
  * </p>
- * 
+ *
  * @author Jonathan von Brünken
  * @author Erich Schubert
- * 
+ * @since 0.5.0
+ *
  * @apiviz.composedOf ALOCIQuadTree
- * 
+ *
  * @param <O> Object type
  */
 @Title("LOCI: Fast Outlier Detection Using the Local Correlation Integral")
 @Description("Algorithm to compute outliers based on the Local Correlation Integral")
-@Reference(authors = "S. Papadimitriou, H. Kitagawa, P. B. Gibbons, C. Faloutsos", title = "LOCI: Fast Outlier Detection Using the Local Correlation Integral", booktitle = "Proc. 19th IEEE Int. Conf. on Data Engineering (ICDE '03), Bangalore, India, 2003", url = "http://dx.doi.org/10.1109/ICDE.2003.1260802")
+@Reference(authors = "S. Papadimitriou, H. Kitagawa, P. B. Gibbons, C. Faloutsos", //
+title = "LOCI: Fast Outlier Detection Using the Local Correlation Integral", //
+booktitle = "Proc. 19th IEEE Int. Conf. on Data Engineering (ICDE '03)", //
+url = "http://dx.doi.org/10.1109/ICDE.2003.1260802")
+@Alias("de.lmu.ifi.dbs.elki.algorithm.outlier.ALOCI")
 public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResult> implements OutlierAlgorithm {
   /**
    * The logger for this class.
@@ -121,7 +126,7 @@ public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResu
 
   /**
    * Constructor.
-   * 
+   *
    * @param distanceFunction Distance function
    * @param nmin Minimum neighborhood size
    * @param alpha Alpha value
@@ -246,10 +251,10 @@ public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResu
 
   /**
    * Method for the MDEF calculation
-   * 
+   *
    * @param sn Sampling Neighborhood
    * @param cg Counting Neighborhood
-   * 
+   *
    * @return MDEF norm
    */
   private static double calculate_MDEF_norm(Node sn, Node cg) {
@@ -294,13 +299,13 @@ public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResu
 
   /**
    * Simple quadtree for ALOCI. Not storing the actual objects, just the counts.
-   * 
+   *
    * Furthermore, the quadtree can be shifted by a specified vector, wrapping
    * around min/max
-   * 
+   *
    * @author Jonathan von Brünken
    * @author Erich Schubert
-   * 
+   *
    * @apiviz.composedOf Node
    */
   static class ALOCIQuadTree {
@@ -326,7 +331,7 @@ public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResu
 
     /**
      * Constructor.
-     * 
+     *
      * @param min Minimum coordinates
      * @param max Maximum coordinates
      * @param shift Tree shift offset
@@ -364,7 +369,7 @@ public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResu
 
     /**
      * Bulk load the tree
-     * 
+     *
      * @param lmin Subtree minimum (unshifted, will be modified)
      * @param lmax Subtree maximum (unshifted, will be modified)
      * @param children List of children for current parent
@@ -461,7 +466,7 @@ public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResu
 
     /**
      * Shift and wrap a single dimension.
-     * 
+     *
      * @param obj Object
      * @param dim Dimension
      * @param level Level (controls scaling/wraping!)
@@ -476,7 +481,7 @@ public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResu
     /**
      * Find the closest node (of depth tlevel or above, if there is no node at
      * this depth) for the given vector.
-     * 
+     *
      * @param vec Query vector
      * @param tlevel Target level
      * @return Node
@@ -511,7 +516,7 @@ public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResu
 
   /**
    * Node of the ALOCI Quadtree
-   * 
+   *
    * @author Erich Schubert
    */
   static class Node {
@@ -547,7 +552,7 @@ public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResu
 
     /**
      * Constructor.
-     * 
+     *
      * @param code Node code
      * @param center Center vector
      * @param count Element count
@@ -569,7 +574,7 @@ public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResu
 
     /**
      * Get level of node.
-     * 
+     *
      * @return Level of node
      */
     public int getLevel() {
@@ -578,7 +583,7 @@ public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResu
 
     /**
      * Get count of subtree
-     * 
+     *
      * @return subtree count
      */
     public int getCount() {
@@ -587,7 +592,7 @@ public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResu
 
     /**
      * Return center vector
-     * 
+     *
      * @return center vector
      */
     public Vector getCenter() {
@@ -596,7 +601,7 @@ public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResu
 
     /**
      * Get sum of squares, recursively
-     * 
+     *
      * @param levels Depth to collect
      * @return Sum of squares
      */
@@ -613,7 +618,7 @@ public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResu
 
     /**
      * Get cubic sum.
-     * 
+     *
      * @param levels Level to collect
      * @return sum of cubes
      */
@@ -631,9 +636,9 @@ public class ALOCI<O extends NumberVector> extends AbstractAlgorithm<OutlierResu
 
   /**
    * Parameterization class.
-   * 
+   *
    * @author Erich Schubert
-   * 
+   *
    * @apiviz.exclude
    */
   public static class Parameterizer<O extends NumberVector> extends AbstractParameterizer {
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/COF.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/COF.java
index 87019ae6..61cb915f 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/COF.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/COF.java
@@ -67,6 +67,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * </p>
  *
  * @author Erich Schubert
+ * @since 0.2
  *
  * @param <O> Object type
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/FlexibleLOF.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/FlexibleLOF.java
index e38e8da2..eae6f530 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/FlexibleLOF.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/FlexibleLOF.java
@@ -107,6 +107,7 @@ import de.lmu.ifi.dbs.elki.utilities.pairs.Pair;
  * @author Peer Kröger
  * @author Erich Schubert
  * @author Elke Achtert
+ * @since 0.2
  *
  * @apiviz.has LOFResult oneway - - computes
  * @apiviz.has KNNQuery
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/INFLO.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/INFLO.java
index 1e77cab5..375031f9 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/INFLO.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/INFLO.java
@@ -49,6 +49,7 @@ import de.lmu.ifi.dbs.elki.math.DoubleMinMax;
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierResult;
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta;
 import de.lmu.ifi.dbs.elki.result.outlier.QuotientOutlierScoreMeta;
+import de.lmu.ifi.dbs.elki.utilities.Alias;
 import de.lmu.ifi.dbs.elki.utilities.documentation.Description;
 import de.lmu.ifi.dbs.elki.utilities.documentation.Reference;
 import de.lmu.ifi.dbs.elki.utilities.documentation.Title;
@@ -72,6 +73,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  *
  * @author Ahmed Hettab
  * @author Erich Schubert
+ * @since 0.3
  *
  * @apiviz.has KNNQuery
  *
@@ -83,6 +85,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
 title = "Ranking outliers using symmetric neighborhood relationship", //
 booktitle = "Proc. 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining", //
 url = "http://dx.doi.org/10.1007/11731139_68")
+@Alias("de.lmu.ifi.dbs.elki.algorithm.outlier.INFLO")
 public class INFLO<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> implements OutlierAlgorithm {
   /**
    * The logger for this class.
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/KDEOS.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/KDEOS.java
index 1583ac99..92f0d7a9 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/KDEOS.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/KDEOS.java
@@ -93,6 +93,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * </p>
  *
  * @author Erich Schubert
+ * @since 0.7.0
  *
  * @apiviz.has KNNQuery
  * @apiviz.has KernelDensityFunction
@@ -203,7 +204,7 @@ public class KDEOS<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult>im
       densities.put(iter, new double[knum]);
     }
     // Distribute densities:
-    FiniteProgress prog = LOG.isVerbose() ? new FiniteProgress("Computing densities.", ids.size(), LOG) : null;
+    FiniteProgress prog = LOG.isVerbose() ? new FiniteProgress("Computing densities", ids.size(), LOG) : null;
     double iminbw = (minBandwidth > 0.) ? 1. / (minBandwidth * scale) : Double.POSITIVE_INFINITY;
     for(DBIDIter iter = ids.iter(); iter.valid(); iter.advance()) {
       KNNList neighbors = knnq.getKNNForDBID(iter, kmax + 1);
@@ -269,7 +270,7 @@ public class KDEOS<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult>im
    */
   protected void computeOutlierScores(KNNQuery<O> knnq, final DBIDs ids, WritableDataStore<double[]> densities, WritableDoubleDataStore kdeos, DoubleMinMax minmax) {
     final int knum = kmax + 1 - kmin;
-    FiniteProgress prog = LOG.isVerbose() ? new FiniteProgress("Computing KDEOS scores.", ids.size(), LOG) : null;
+    FiniteProgress prog = LOG.isVerbose() ? new FiniteProgress("Computing KDEOS scores", ids.size(), LOG) : null;
 
     double[][] scratch = new double[knum][kmax + 5];
     MeanVariance mv = new MeanVariance();
@@ -339,32 +340,32 @@ public class KDEOS<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult>im
     /**
      * Parameter to specify the kernel density function.
      */
-    private static final OptionID KERNEL_ID = new OptionID("kdeos.kernel", "Kernel density function to use.");
+    public static final OptionID KERNEL_ID = new OptionID("kdeos.kernel", "Kernel density function to use.");
 
     /**
      * Parameter to specify the minimum bandwidth.
      */
-    private static final OptionID KERNEL_MIN_ID = new OptionID("kdeos.kernel.minbw", "Minimum bandwidth for kernel density estimation.");
+    public static final OptionID KERNEL_MIN_ID = new OptionID("kdeos.kernel.minbw", "Minimum bandwidth for kernel density estimation.");
 
     /**
      * Parameter to specify the kernel scaling factor.
      */
-    private static final OptionID KERNEL_SCALE_ID = new OptionID("kdeos.kernel.scale", "Scaling factor for the kernel function.");
+    public static final OptionID KERNEL_SCALE_ID = new OptionID("kdeos.kernel.scale", "Scaling factor for the kernel function.");
 
     /**
      * Minimum value of k to analyze.
      */
-    private static final OptionID KMIN_ID = new OptionID("kdeos.k.min", "Minimum value of k to analyze.");
+    public static final OptionID KMIN_ID = new OptionID("kdeos.k.min", "Minimum value of k to analyze.");
 
     /**
      * Maximum value of k to analyze.
      */
-    private static final OptionID KMAX_ID = new OptionID("kdeos.k.max", "Maximum value of k to analyze.");
+    public static final OptionID KMAX_ID = new OptionID("kdeos.k.max", "Maximum value of k to analyze.");
 
     /**
      * Intrinsic dimensionality.
      */
-    private static final OptionID IDIM_ID = new OptionID("kdeos.idim", "Intrinsic dimensionality of this data set. Use -1 for using the true data dimensionality, but values such as 0-2 often offer better performance.");
+    public static final OptionID IDIM_ID = new OptionID("kdeos.idim", "Intrinsic dimensionality of this data set. Use -1 for using the true data dimensionality, but values such as 0-2 often offer better performance.");
 
     /**
      * Kernel function to use for density estimation.
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LDF.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LDF.java
index 056a6ba3..c4067504 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LDF.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LDF.java
@@ -54,6 +54,7 @@ import de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.KernelDensityFunction
 import de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta;
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierResult;
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta;
+import de.lmu.ifi.dbs.elki.utilities.Alias;
 import de.lmu.ifi.dbs.elki.utilities.DatabaseUtil;
 import de.lmu.ifi.dbs.elki.utilities.documentation.Reference;
 import de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID;
@@ -77,6 +78,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * </p>
  *
  * @author Erich Schubert
+ * @since 0.5.5
  *
  * @apiviz.has KNNQuery
  * @apiviz.has KernelDensityFunction
@@ -87,6 +89,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
 title = "Outlier Detection with Kernel Density Functions", //
 booktitle = "Machine Learning and Data Mining in Pattern Recognition", //
 url = "http://dx.doi.org/10.1007/978-3-540-73499-4_6")
+@Alias("de.lmu.ifi.dbs.elki.algorithm.outlier.LDF")
 public class LDF<O extends NumberVector> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> implements OutlierAlgorithm {
   /**
    * The logger for this class.
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LDOF.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LDOF.java
index b41af3bd..9dadf0e3 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LDOF.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LDOF.java
@@ -71,6 +71,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * </p>
  *
  * @author Arthur Zimek
+ * @since 0.3
  *
  * @apiviz.has KNNQuery
  *
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LOCI.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LOCI.java
index 7b332639..f8623bcc 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LOCI.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LOCI.java
@@ -63,26 +63,33 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
 
 /**
  * Fast Outlier Detection Using the "Local Correlation Integral".
- * 
+ *
  * Exact implementation only, not aLOCI. See {@link ALOCI}.
- * 
+ *
  * Outlier detection using multiple epsilon neighborhoods.
- * 
+ *
  * This implementation has O(n<sup>3</sup> log n) runtime complexity!
- * 
- * Based on: S. Papadimitriou, H. Kitagawa, P. B. Gibbons and C. Faloutsos:
- * LOCI: Fast Outlier Detection Using the Local Correlation Integral. In: Proc.
- * 19th IEEE Int. Conf. on Data Engineering (ICDE '03), Bangalore, India, 2003.
- * 
+ *
+ * Reference:
+ * <p>
+ * S. Papadimitriou, H. Kitagawa, P. B. Gibbons and C. Faloutsos: <br />
+ * LOCI: Fast Outlier Detection Using the Local Correlation Integral. <br />
+ * In: Proc. 19th IEEE Int. Conf. on Data Engineering (ICDE '03)
+ * </p>
+ *
  * @author Erich Schubert
- * 
+ * @since 0.2
+ *
  * @apiviz.has RangeQuery
- * 
+ *
  * @param <O> Object type
  */
 @Title("LOCI: Fast Outlier Detection Using the Local Correlation Integral")
 @Description("Algorithm to compute outliers based on the Local Correlation Integral")
-@Reference(authors = "S. Papadimitriou, H. Kitagawa, P. B. Gibbons, C. Faloutsos", title = "LOCI: Fast Outlier Detection Using the Local Correlation Integral", booktitle = "Proc. 19th IEEE Int. Conf. on Data Engineering (ICDE '03), Bangalore, India, 2003", url = "http://dx.doi.org/10.1109/ICDE.2003.1260802")
+@Reference(authors = "S. Papadimitriou, H. Kitagawa, P. B. Gibbons, C. Faloutsos", //
+title = "LOCI: Fast Outlier Detection Using the Local Correlation Integral", //
+booktitle = "Proc. 19th IEEE Int. Conf. on Data Engineering (ICDE '03)", //
+url = "http://dx.doi.org/10.1109/ICDE.2003.1260802")
 @Alias({ "de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI" })
 public class LOCI<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> implements OutlierAlgorithm {
   /**
@@ -91,39 +98,23 @@ public class LOCI<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> im
   private static final Logging LOG = Logging.getLogger(LOCI.class);
 
   /**
-   * Parameter to specify the maximum radius of the neighborhood to be
-   * considered, must be suitable to the distance function specified.
-   */
-  public static final OptionID RMAX_ID = new OptionID("loci.rmax", "The maximum radius of the neighborhood to be considered.");
-
-  /**
-   * Parameter to specify the minimum neighborhood size
-   */
-  public static final OptionID NMIN_ID = new OptionID("loci.nmin", "Minimum neighborhood size to be considered.");
-
-  /**
-   * Parameter to specify the averaging neighborhood scaling.
-   */
-  public static final OptionID ALPHA_ID = new OptionID("loci.alpha", "Scaling factor for averaging neighborhood");
-
-  /**
-   * Holds the value of {@link #RMAX_ID}.
+   * Maximum radius.
    */
   private double rmax;
 
   /**
-   * Holds the value of {@link #NMIN_ID}.
+   * Minimum neighborhood size.
    */
-  private int nmin;
+  private int nmin = 0;
 
   /**
-   * Holds the value of {@link #ALPHA_ID}.
+   * Scaling of averaging neighborhood.
    */
-  private double alpha;
+  private double alpha = 0.5;
 
   /**
    * Constructor.
-   * 
+   *
    * @param distanceFunction Distance function
    * @param rmax Maximum radius
    * @param nmin Minimum neighborhood size
@@ -138,7 +129,7 @@ public class LOCI<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> im
 
   /**
    * Run the algorithm
-   * 
+   *
    * @param database Database to process
    * @param relation Relation to process
    * @return Outlier result
@@ -228,7 +219,7 @@ public class LOCI<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> im
 
   /**
    * Preprocessing step: determine the radii of interest for each point.
-   * 
+   *
    * @param ids IDs to process
    * @param rangeQuery Range query
    * @param interestingDistances Distances of interest
@@ -284,7 +275,7 @@ public class LOCI<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> im
 
   /**
    * Array of double-int values.
-   * 
+   *
    * @author Erich Schubert
    *
    * @apiviz.exclude
@@ -307,7 +298,7 @@ public class LOCI<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> im
 
     /**
      * Constructor.
-     * 
+     *
      * @param alloc Initial allocation.
      */
     public DoubleIntArrayList(int alloc) {
@@ -318,7 +309,7 @@ public class LOCI<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> im
 
     /**
      * Collection size.
-     * 
+     *
      * @return Size
      */
     public int size() {
@@ -327,7 +318,7 @@ public class LOCI<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> im
 
     /**
      * Get the key at the given position.
-     * 
+     *
      * @param i Position
      * @return Key
      */
@@ -337,7 +328,7 @@ public class LOCI<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> im
 
     /**
      * Get the value at the given position.
-     * 
+     *
      * @param i Position
      * @return Value
      */
@@ -347,7 +338,7 @@ public class LOCI<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> im
 
     /**
      * Get the value at the given position.
-     * 
+     *
      * @param i Position
      * @param val New value
      */
@@ -357,7 +348,7 @@ public class LOCI<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> im
 
     /**
      * Append a key-value pair.
-     * 
+     *
      * @param key Key to append
      * @param val Value to append.
      */
@@ -373,7 +364,7 @@ public class LOCI<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> im
 
     /**
      * Find the last position with a smaller or equal key.
-     * 
+     *
      * @param search Key
      * @return Position
      */
@@ -412,18 +403,43 @@ public class LOCI<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> im
 
   /**
    * Parameterization class.
-   * 
+   *
    * @author Erich Schubert
-   * 
+   *
    * @apiviz.exclude
-   * 
+   *
    * @param <O> Object type
    */
   public static class Parameterizer<O> extends AbstractDistanceBasedAlgorithm.Parameterizer<O> {
+    /**
+     * Parameter to specify the maximum radius of the neighborhood to be
+     * considered, must be suitable to the distance function specified.
+     */
+    public static final OptionID RMAX_ID = new OptionID("loci.rmax", "The maximum radius of the neighborhood to be considered.");
+
+    /**
+     * Parameter to specify the minimum neighborhood size
+     */
+    public static final OptionID NMIN_ID = new OptionID("loci.nmin", "Minimum neighborhood size to be considered.");
+
+    /**
+     * Parameter to specify the averaging neighborhood scaling.
+     */
+    public static final OptionID ALPHA_ID = new OptionID("loci.alpha", "Scaling factor for averaging neighborhood");
+
+    /**
+     * Maximum radius.
+     */
     protected double rmax;
 
+    /**
+     * Minimum neighborhood size.
+     */
     protected int nmin = 0;
 
+    /**
+     * Scaling of averaging neighborhood.
+     */
     protected double alpha = 0.5;
 
     @Override
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LOF.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LOF.java
index 87b1be8c..52fbeafc 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LOF.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LOF.java
@@ -87,6 +87,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * 
  * @author Erich Schubert
  * @author Elke Achtert
+ * @since 0.2
  * 
  * @apiviz.has KNNQuery
  * 
@@ -98,7 +99,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
 title = "LOF: Identifying Density-Based Local Outliers", //
 booktitle = "Proc. 2nd ACM SIGMOD Int. Conf. on Management of Data (SIGMOD '00), Dallas, TX, 2000", //
 url = "http://dx.doi.org/10.1145/342009.335388")
-@Alias({ "de.lmu.ifi.dbs.elki.algorithm.outlier.LOF", "LOF" })
+@Alias("de.lmu.ifi.dbs.elki.algorithm.outlier.LOF")
 public class LOF<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> implements OutlierAlgorithm {
   /**
    * The logger for this class.
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LoOP.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LoOP.java
index 48589698..16f46a33 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LoOP.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LoOP.java
@@ -90,6 +90,7 @@ import de.lmu.ifi.dbs.elki.utilities.pairs.Pair;
  * </ul>
  *
  * @author Erich Schubert
+ * @since 0.3
  *
  * @apiviz.has KNNQuery
  *
@@ -101,7 +102,7 @@ import de.lmu.ifi.dbs.elki.utilities.pairs.Pair;
 title = "LoOP: Local Outlier Probabilities", //
 booktitle = "Proceedings of the 18th International Conference on Information and Knowledge Management (CIKM), Hong Kong, China, 2009", //
 url = "http://dx.doi.org/10.1145/1645953.1646195")
-@Alias({ "de.lmu.ifi.dbs.elki.algorithm.outlier.LoOP", "LoOP" })
+@Alias("de.lmu.ifi.dbs.elki.algorithm.outlier.LoOP")
 public class LoOP<O> extends AbstractAlgorithm<OutlierResult> implements OutlierAlgorithm {
   /**
    * The logger for this class.
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/OnlineLOF.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/OnlineLOF.java
index 715d3c0e..6a9344b3 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/OnlineLOF.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/OnlineLOF.java
@@ -53,6 +53,7 @@ import de.lmu.ifi.dbs.elki.logging.progress.StepProgress;
 import de.lmu.ifi.dbs.elki.math.DoubleMinMax;
 import de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta;
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierResult;
+import de.lmu.ifi.dbs.elki.utilities.Alias;
 import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization;
 import de.lmu.ifi.dbs.elki.utilities.pairs.Pair;
 
@@ -63,10 +64,12 @@ import de.lmu.ifi.dbs.elki.utilities.pairs.Pair;
  * BUG: this currently does not appear to work.
  *
  * @author Elke Achtert
+ * @since 0.2
  *
  * @apiviz.has FlexibleLOF.LOFResult oneway - - updates
  */
 // TODO: related to publication?
+@Alias("de.lmu.ifi.dbs.elki.algorithm.outlier.OnlineLOF")
 public class OnlineLOF<O> extends FlexibleLOF<O> {
   /**
    * The logger for this class.
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/SimpleKernelDensityLOF.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/SimpleKernelDensityLOF.java
index af32988e..80c41e57 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/SimpleKernelDensityLOF.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/SimpleKernelDensityLOF.java
@@ -54,6 +54,7 @@ import de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.KernelDensityFunction
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierResult;
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta;
 import de.lmu.ifi.dbs.elki.result.outlier.QuotientOutlierScoreMeta;
+import de.lmu.ifi.dbs.elki.utilities.Alias;
 import de.lmu.ifi.dbs.elki.utilities.DatabaseUtil;
 import de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID;
 import de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.CommonConstraints;
@@ -66,12 +67,14 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * estimation instead of the local reachability density.
  *
  * @author Erich Schubert
+ * @since 0.5.5
  *
  * @apiviz.has KNNQuery
  * @apiviz.has KernelDensityFunction
  *
  * @param <O> the type of objects handled by this Algorithm
  */
+@Alias("de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleKernelDensityLOF")
 public class SimpleKernelDensityLOF<O extends NumberVector> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> implements OutlierAlgorithm {
   /**
    * The logger for this class.
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/SimplifiedLOF.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/SimplifiedLOF.java
index 17ebdabf..5705e7aa 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/SimplifiedLOF.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/SimplifiedLOF.java
@@ -68,6 +68,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * </p>
  *
  * @author Erich Schubert
+ * @since 0.5.5
  *
  * @apiviz.has KNNQuery
  *
@@ -77,7 +78,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
 title = "Local Outlier Detection Reconsidered: a Generalized View on Locality with Applications to Spatial, Video, and Network Outlier Detection", //
 booktitle = "Data Mining and Knowledge Discovery, 28(1): 190–237, 2014.", //
 url = "http://dx.doi.org/10.1007/s10618-012-0300-z")
-@Alias({ "SimplifiedLOF", "outlier.SimplifiedLOF", "de.lmu.ifi.dbs.elki.algorithm.outlier.SimplifiedLOF" })
+@Alias("de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleLOF")
 public class SimplifiedLOF<O> extends AbstractDistanceBasedAlgorithm<O, OutlierResult> implements OutlierAlgorithm {
   /**
    * The logger for this class.
@@ -172,7 +173,7 @@ public class SimplifiedLOF<O> extends AbstractDistanceBasedAlgorithm<O, OutlierR
    * @param lofminmax Minimum and maximum scores
    */
   private void computeSimplifiedLOFs(DBIDs ids, KNNQuery<O> knnq, WritableDoubleDataStore slrds, WritableDoubleDataStore lofs, DoubleMinMax lofminmax) {
-    FiniteProgress progressLOFs = LOG.isVerbose() ? new FiniteProgress("Simplified LOF scores.", ids.size(), LOG) : null;
+    FiniteProgress progressLOFs = LOG.isVerbose() ? new FiniteProgress("Simplified LOF scores", ids.size(), LOG) : null;
     for(DBIDIter iter = ids.iter(); iter.valid(); iter.advance()) {
       final double lof;
       final double lrdp = slrds.doubleValue(iter);
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/VarianceOfVolume.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/VarianceOfVolume.java
index 3dffe213..93f62bea 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/VarianceOfVolume.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/VarianceOfVolume.java
@@ -77,6 +77,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * </p>
  *
  * @author Erich Schubert
+ * @since 0.7.0
  *
  * @apiviz.has KNNQuery
  *
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/LOFProcessor.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/LOFProcessor.java
index 095a1b5b..c6c7b315 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/LOFProcessor.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/LOFProcessor.java
@@ -37,6 +37,7 @@ import de.lmu.ifi.dbs.elki.parallel.variables.SharedDouble;
  * Processor for computing the LOF.
  * 
  * @author Erich Schubert
+ * @since 0.7.0
  *
  * @apiviz.has Instance
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/LRDProcessor.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/LRDProcessor.java
index e9c48cbf..c21a45af 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/LRDProcessor.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/LRDProcessor.java
@@ -38,6 +38,7 @@ import de.lmu.ifi.dbs.elki.parallel.variables.SharedDouble;
  * Processor for the "local reachability density" of LOF.
  * 
  * @author Erich Schubert
+ * @since 0.7.0
  *
  * @apiviz.has Instance
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/ParallelLOF.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/ParallelLOF.java
index 59b69931..04b7f1da 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/ParallelLOF.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/ParallelLOF.java
@@ -71,6 +71,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * </p>
  * 
  * @author Erich Schubert
+ * @since 0.7.0
  * 
  * @apiviz.has LRDProcessor
  * @apiviz.has LOFProcessor
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/ParallelSimplifiedLOF.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/ParallelSimplifiedLOF.java
index 9be38c34..d57972e3 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/ParallelSimplifiedLOF.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/ParallelSimplifiedLOF.java
@@ -70,6 +70,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * </p>
  * 
  * @author Erich Schubert
+ * @since 0.7.0
  * 
  * @apiviz.has SimplifiedLRDProcessor
  * @apiviz.has LOFProcessor
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/SimplifiedLRDProcessor.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/SimplifiedLRDProcessor.java
index 0ee9a862..c075c674 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/SimplifiedLRDProcessor.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/parallel/SimplifiedLRDProcessor.java
@@ -38,6 +38,7 @@ import de.lmu.ifi.dbs.elki.parallel.variables.SharedDouble;
  * Note: we compute 1/lrd, the local reachability distance.
  * 
  * @author Erich Schubert
+ * @since 0.7.0
  *
  * @apiviz.has Instance
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/ExternalDoubleOutlierScore.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/ExternalDoubleOutlierScore.java
index 2791b800..63226bc9 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/ExternalDoubleOutlierScore.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/ExternalDoubleOutlierScore.java
@@ -73,6 +73,7 @@ import de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierScalingFunction;
  * score specified with an algorithm-specific prefix.
  *
  * @author Erich Schubert
+ * @since 0.4.0
  *
  * @apiviz.has ScalingFunction
  * @apiviz.has File
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/FeatureBagging.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/FeatureBagging.java
index 6a7a41f3..1354b5c0 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/FeatureBagging.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/FeatureBagging.java
@@ -79,6 +79,7 @@ import de.lmu.ifi.dbs.elki.utilities.pairs.Pair;
  * 
  * @author Erich Schubert
  * @author Remigius Wojdanowski
+ * @since 0.4.0
  */
 @Title("Feature Bagging for Outlier Detection")
 @Reference(title = "Feature Bagging for Outlier Detection", authors = "A. Lazarevic, V. Kumar", booktitle = "Proc. of the 11th ACM SIGKDD international conference on Knowledge discovery in data mining", url = "http://dx.doi.org/10.1145/1081870.1081891")
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/HiCS.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/HiCS.java
index 4dcf83ec..e38dd7aa 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/HiCS.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/HiCS.java
@@ -94,6 +94,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.RandomParameter;
  * 
  * @author Jan Brusis
  * @author Erich Schubert
+ * @since 0.5.0
  * 
  * @apiviz.composedOf GoodnessOfFitTest
  * @apiviz.composedOf OutlierAlgorithm
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/RescaleMetaOutlierAlgorithm.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/RescaleMetaOutlierAlgorithm.java
index f6f3fabc..fa940477 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/RescaleMetaOutlierAlgorithm.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/RescaleMetaOutlierAlgorithm.java
@@ -56,6 +56,7 @@ import de.lmu.ifi.dbs.elki.workflow.AlgorithmStep;
  * Scale another outlier score using the given scaling function.
  * 
  * @author Erich Schubert
+ * @since 0.4.0
  * 
  * @apiviz.composedOf OutlierAlgorithm
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/SimpleOutlierEnsemble.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/SimpleOutlierEnsemble.java
index 591ab776..16d07d05 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/SimpleOutlierEnsemble.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/SimpleOutlierEnsemble.java
@@ -64,6 +64,7 @@ import de.lmu.ifi.dbs.elki.workflow.AlgorithmStep;
  * Simple outlier ensemble method.
  * 
  * @author Erich Schubert
+ * @since 0.5.5
  * 
  * @apiviz.composedOf EnsembleVoting
  * @apiviz.uses OutlierResult oneway - - reads
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/AbstractDistanceBasedSpatialOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/AbstractDistanceBasedSpatialOutlier.java
index 829c9010..3ee1d13e 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/AbstractDistanceBasedSpatialOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/AbstractDistanceBasedSpatialOutlier.java
@@ -35,6 +35,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * Abstract base class for distance-based spatial outlier detection methods.
  * 
  * @author Ahmed Hettab
+ * @since 0.4.0
  * 
  * @param <N> Object type for neighborhood
  * @param <O> Non-spatial object type
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/AbstractNeighborhoodOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/AbstractNeighborhoodOutlier.java
index 2be79793..0fed345b 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/AbstractNeighborhoodOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/AbstractNeighborhoodOutlier.java
@@ -37,6 +37,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * neighborhood.
  * 
  * @author Ahmed Hettab
+ * @since 0.4.0
  * 
  * @param <O> Object type
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuGLSBackwardSearchAlgorithm.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuGLSBackwardSearchAlgorithm.java
index 70f0eddb..13499720 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuGLSBackwardSearchAlgorithm.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuGLSBackwardSearchAlgorithm.java
@@ -79,6 +79,7 @@ import de.lmu.ifi.dbs.elki.utilities.pairs.Pair;
  * that make the optimization problem convex.
  *
  * @author Ahmed Hettab
+ * @since 0.4.0
  *
  * @param <V> Vector type to use for distances
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMeanMultipleAttributes.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMeanMultipleAttributes.java
index f0783700..2322205f 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMeanMultipleAttributes.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMeanMultipleAttributes.java
@@ -69,6 +69,7 @@ import de.lmu.ifi.dbs.elki.utilities.documentation.Reference;
  * </p>
  * 
  * @author Ahmed Hettab
+ * @since 0.4.0
  * 
  * @param <N> Spatial Vector
  * @param <O> Attribute Vector
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMedianAlgorithm.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMedianAlgorithm.java
index a5cb7423..cae611b8 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMedianAlgorithm.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMedianAlgorithm.java
@@ -65,6 +65,7 @@ import de.lmu.ifi.dbs.elki.utilities.documentation.Title;
  * Outliers.
  * 
  * @author Ahmed Hettab
+ * @since 0.4.0
  * 
  * @param <N> Neighborhood type
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMedianMultipleAttributes.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMedianMultipleAttributes.java
index 1093b449..9af83939 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMedianMultipleAttributes.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMedianMultipleAttributes.java
@@ -70,6 +70,7 @@ import de.lmu.ifi.dbs.elki.utilities.documentation.Reference;
  * </p>
  * 
  * @author Ahmed Hettab
+ * @since 0.4.0
  * 
  * @param <N> Spatial Vector
  * @param <O> Non Spatial Vector
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMoranScatterplotOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMoranScatterplotOutlier.java
index 5e8a7086..78e7fbd4 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMoranScatterplotOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMoranScatterplotOutlier.java
@@ -67,6 +67,7 @@ import de.lmu.ifi.dbs.elki.utilities.documentation.Title;
  * upper left or lower right are Spatial Outliers.
  * 
  * @author Ahmed Hettab
+ * @since 0.4.0
  * 
  * @param <N> Neighborhood type
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuRandomWalkEC.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuRandomWalkEC.java
index 6892200c..793b6977 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuRandomWalkEC.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuRandomWalkEC.java
@@ -75,6 +75,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
  * </p>
  *
  * @author Ahmed Hettab
+ * @since 0.4.0
  *
  * @param <P> Spatial Vector type
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuScatterplotOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuScatterplotOutlier.java
index 16cd6625..b0a31a2c 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuScatterplotOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuScatterplotOutlier.java
@@ -69,6 +69,7 @@ import de.lmu.ifi.dbs.elki.utilities.documentation.Title;
  * </p>
  * 
  * @author Ahmed Hettab
+ * @since 0.4.0
  * 
  * @param <N> Neighborhood object type
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuZTestOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuZTestOutlier.java
index ba93c79c..13f7488d 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuZTestOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuZTestOutlier.java
@@ -69,6 +69,7 @@ import de.lmu.ifi.dbs.elki.utilities.documentation.Title;
  * </p>
  * 
  * @author Ahmed Hettab
+ * @since 0.4.0
  * 
  * @param <N> Neighborhood type
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/SLOM.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/SLOM.java
index c18c69e0..ff2a671d 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/SLOM.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/SLOM.java
@@ -62,6 +62,7 @@ import de.lmu.ifi.dbs.elki.utilities.documentation.Title;
  * still not be too useful then), which will result in divisions by zero.
  * 
  * @author Ahmed Hettab
+ * @since 0.4.0
  * 
  * @param <N> the type the spatial neighborhood is defined over
  * @param <O> the type of objects handled by the algorithm
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/SOF.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/SOF.java
index 31083439..32747bf3 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/SOF.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/SOF.java
@@ -62,6 +62,7 @@ import de.lmu.ifi.dbs.elki.utilities.documentation.Title;
  * A LOF variation simplified with reachDist(o,p) == dist(o,p).
  * 
  * @author Ahmed Hettab
+ * @since 0.4.0
  * 
  * @param <N> Neighborhood object type
  * @param <O> Attribute object type
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/TrimmedMeanApproach.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/TrimmedMeanApproach.java
index 6581bb82..2e5b305b 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/TrimmedMeanApproach.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/TrimmedMeanApproach.java
@@ -74,6 +74,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter;
  * </p>
  * 
  * @author Ahmed Hettab
+ * @since 0.4.0
  * @param <N> Neighborhood object type
  */
 @Title("A Trimmed Mean Approach to Finding Spatial Outliers")
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/AbstractPrecomputedNeighborhood.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/AbstractPrecomputedNeighborhood.java
index abf42e98..da5c3d5c 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/AbstractPrecomputedNeighborhood.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/AbstractPrecomputedNeighborhood.java
@@ -33,6 +33,7 @@ import de.lmu.ifi.dbs.elki.logging.Logging;
  * Abstract base class for precomputed neighborhoods.
  * 
  * @author Erich Schubert
+ * @since 0.4.0
  */
 public abstract class AbstractPrecomputedNeighborhood implements NeighborSetPredicate {
   /**
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/ExtendedNeighborhood.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/ExtendedNeighborhood.java
index ba37400b..8284ace8 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/ExtendedNeighborhood.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/ExtendedNeighborhood.java
@@ -49,6 +49,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * neighborhood.
  * 
  * @author Erich Schubert
+ * @since 0.4.0
  */
 public class ExtendedNeighborhood extends AbstractPrecomputedNeighborhood {
   /**
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/ExternalNeighborhood.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/ExternalNeighborhood.java
index 7881633c..4d0dd24a 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/ExternalNeighborhood.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/ExternalNeighborhood.java
@@ -59,6 +59,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileParameter;
  * A precomputed neighborhood, loaded from an external file.
  * 
  * @author Erich Schubert
+ * @since 0.4.0
  */
 public class ExternalNeighborhood extends AbstractPrecomputedNeighborhood {
   /**
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/NeighborSetPredicate.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/NeighborSetPredicate.java
index d953ece1..9ae428e6 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/NeighborSetPredicate.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/NeighborSetPredicate.java
@@ -34,6 +34,7 @@ import de.lmu.ifi.dbs.elki.result.Result;
  * Predicate to obtain the neighbors of a reference object as set.
  *
  * @author Erich Schubert
+ * @since 0.4.0
  */
 public interface NeighborSetPredicate extends Result {
   /**
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/PrecomputedKNearestNeighborNeighborhood.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/PrecomputedKNearestNeighborNeighborhood.java
index 923cd39d..0a70ae85 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/PrecomputedKNearestNeighborNeighborhood.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/PrecomputedKNearestNeighborNeighborhood.java
@@ -49,6 +49,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * Neighborhoods based on k nearest neighbors.
  * 
  * @author Ahmed Hettab
+ * @since 0.4.0
  */
 public class PrecomputedKNearestNeighborNeighborhood extends AbstractPrecomputedNeighborhood {
   /**
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/weighted/LinearWeightedExtendedNeighborhood.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/weighted/LinearWeightedExtendedNeighborhood.java
index b45fd3cc..54753e17 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/weighted/LinearWeightedExtendedNeighborhood.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/weighted/LinearWeightedExtendedNeighborhood.java
@@ -53,6 +53,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * TODO: make actual weighting parameterizable?
  * 
  * @author Erich Schubert
+ * @since 0.4.0
  */
 public class LinearWeightedExtendedNeighborhood implements WeightedNeighborSetPredicate {
   /**
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/weighted/UnweightedNeighborhoodAdapter.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/weighted/UnweightedNeighborhoodAdapter.java
index 5476791d..def719cf 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/weighted/UnweightedNeighborhoodAdapter.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/weighted/UnweightedNeighborhoodAdapter.java
@@ -45,6 +45,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * weighted neighborhoods.
  * 
  * @author Erich Schubert
+ * @since 0.4.0
  */
 public class UnweightedNeighborhoodAdapter implements WeightedNeighborSetPredicate {
   /**
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/weighted/WeightedNeighborSetPredicate.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/weighted/WeightedNeighborSetPredicate.java
index aeb91741..3e9a301c 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/weighted/WeightedNeighborSetPredicate.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/neighborhood/weighted/WeightedNeighborSetPredicate.java
@@ -35,6 +35,7 @@ import de.lmu.ifi.dbs.elki.database.relation.Relation;
  * Neighbor predicate with weight support.
  * 
  * @author Erich Schubert
+ * @since 0.4.0
  */
 public interface WeightedNeighborSetPredicate {
   /**
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AbstractAggarwalYuOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AbstractAggarwalYuOutlier.java
index 54fc9853..63e58864 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AbstractAggarwalYuOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AbstractAggarwalYuOutlier.java
@@ -63,6 +63,7 @@ import de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair;
  * 
  * @author Ahmed Hettab
  * @author Erich Schubert
+ * @since 0.4.0
  * 
  * @param <V> Vector type
  */
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AggarwalYuEvolutionary.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AggarwalYuEvolutionary.java
index 829347dc..e856ce62 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AggarwalYuEvolutionary.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AggarwalYuEvolutionary.java
@@ -23,8 +23,6 @@ package de.lmu.ifi.dbs.elki.algorithm.outlier.subspace;
  along with this program.  If not, see <http://www.gnu.org/licenses/>.
  */
 
-import gnu.trove.iterator.TIntIterator;
-import gnu.trove.list.array.TIntArrayList;
 
 import java.util.ArrayList;
 import java.util.Arrays;
@@ -50,6 +48,7 @@ import de.lmu.ifi.dbs.elki.math.random.RandomFactory;
 import de.lmu.ifi.dbs.elki.result.outlier.InvertedOutlierScoreMeta;
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierResult;
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta;
+import de.lmu.ifi.dbs.elki.utilities.Alias;
 import de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap;
 import de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedHeap;
 import de.lmu.ifi.dbs.elki.utilities.documentation.Description;
@@ -61,6 +60,8 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameteriz
 import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
 import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.RandomParameter;
 import de.lmu.ifi.dbs.elki.utilities.pairs.Pair;
+import gnu.trove.iterator.TIntIterator;
+import gnu.trove.list.array.TIntArrayList;
 
 /**
  * Evolutionary variant (EAFOD) of the high-dimensional outlier detection
@@ -75,6 +76,7 @@ import de.lmu.ifi.dbs.elki.utilities.pairs.Pair;
  * 
  * @author Ahmed Hettab
  * @author Erich Schubert
+ * @since 0.4.0
  * 
  * @apiviz.has EvolutionarySearch oneway - - runs
  * @apiviz.has Individuum oneway - - obtains
@@ -85,6 +87,7 @@ import de.lmu.ifi.dbs.elki.utilities.pairs.Pair;
 @Title("EAFOD: the evolutionary outlier detection algorithm")
 @Description("Outlier detection for high dimensional data")
 @Reference(authors = "C.C. Aggarwal, P. S. Yu", title = "Outlier detection for high dimensional data", booktitle = "Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD 2001), Santa Barbara, CA, 2001", url = "http://dx.doi.org/10.1145/375663.375668")
+@Alias("de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary")
 public class AggarwalYuEvolutionary<V extends NumberVector> extends AbstractAggarwalYuOutlier<V> {
   /**
    * The logger for this class.
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AggarwalYuNaive.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AggarwalYuNaive.java
index e141ad48..3c601dda 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AggarwalYuNaive.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/AggarwalYuNaive.java
@@ -40,6 +40,7 @@ import de.lmu.ifi.dbs.elki.math.DoubleMinMax;
 import de.lmu.ifi.dbs.elki.result.outlier.InvertedOutlierScoreMeta;
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierResult;
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta;
+import de.lmu.ifi.dbs.elki.utilities.Alias;
 import de.lmu.ifi.dbs.elki.utilities.documentation.Description;
 import de.lmu.ifi.dbs.elki.utilities.documentation.Reference;
 import de.lmu.ifi.dbs.elki.utilities.documentation.Title;
@@ -64,6 +65,7 @@ import de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair;
  * 
  * @author Ahmed Hettab
  * @author Erich Schubert
+ * @since 0.4.0
  * 
  * @param <V> Vector type
  */
@@ -71,6 +73,7 @@ import de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair;
 @Title("BruteForce: Outlier detection for high dimensional data")
 @Description("Examines all possible sets of k dimensional projections")
 @Reference(authors = "C.C. Aggarwal, P. S. Yu", title = "Outlier detection for high dimensional data", booktitle = "Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD 2001), Santa Barbara, CA, 2001", url = "http://dx.doi.org/10.1145/375663.375668")
+@Alias("de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuNaive")
 public class AggarwalYuNaive<V extends NumberVector> extends AbstractAggarwalYuOutlier<V> {
   /**
    * The logger for this class.
@@ -188,4 +191,4 @@ public class AggarwalYuNaive<V extends NumberVector> extends AbstractAggarwalYuO
       return new AggarwalYuNaive<>(k, phi);
     }
   }
-}
-\ No newline at end of file
+}
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/OUTRES.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/OUTRES.java
index 6f7ee1f4..66d8ef5f 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/OUTRES.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/OUTRES.java
@@ -83,6 +83,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter;
  * 
  * @author Viktoria Pleintinger
  * @author Erich Schubert
+ * @since 0.5.0
  * 
  * @apiviz.composedOf KernelDensityEstimator
  * 
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/OutRankS1.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/OutRankS1.java
index 54047472..4ba34c10 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/OutRankS1.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/OutRankS1.java
@@ -71,6 +71,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * </p>
  * 
  * @author Erich Schubert
+ * @since 0.5.0
  */
 @Title("OutRank: ranking outliers in high dimensional data")
 @Description("Ranking outliers in high dimensional data - score 1")
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/SOD.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/SOD.java
index db1a969c..8b0ac7c7 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/SOD.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/subspace/SOD.java
@@ -57,6 +57,7 @@ import de.lmu.ifi.dbs.elki.result.outlier.OutlierResult;
 import de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta;
 import de.lmu.ifi.dbs.elki.result.textwriter.TextWriteable;
 import de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream;
+import de.lmu.ifi.dbs.elki.utilities.Alias;
 import de.lmu.ifi.dbs.elki.utilities.BitsUtil;
 import de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap;
 import de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap;
@@ -85,6 +86,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
  * </p>
  * 
  * @author Arthur Zimek
+ * @since 0.2
  * 
  * @apiviz.has SODModel oneway - - computes
  * @apiviz.has SharedNearestNeighborSimilarityFunction
@@ -94,6 +96,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
 @Title("SOD: Subspace outlier degree")
 @Description("Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data")
 @Reference(authors = "H.-P. Kriegel, P. Kröger, E. Schubert, A. Zimek", title = "Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data", booktitle = "Proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Bangkok, Thailand, 2009", url = "http://dx.doi.org/10.1007/978-3-642-01307-2")
+@Alias("de.lmu.ifi.dbs.elki.algorithm.outlier.SOD")
 public class SOD<V extends NumberVector> extends AbstractAlgorithm<OutlierResult> implements OutlierAlgorithm {
   /**
    * The logger for this class.
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/ByLabelOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/ByLabelOutlier.java
index dfd35c78..6c2fc6c2 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/ByLabelOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/ByLabelOutlier.java
@@ -53,6 +53,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter;
  * reference algorithm in comparisons.
  * 
  * @author Erich Schubert
+ * @since 0.4.0
  */
 public class ByLabelOutlier extends AbstractAlgorithm<OutlierResult> implements OutlierAlgorithm {
   /**
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialAllOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialAllOutlier.java
index 5ef77e12..3a8d1528 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialAllOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialAllOutlier.java
@@ -44,6 +44,7 @@ import de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore;
  * reference algorithm in comparisons.
  * 
  * @author Erich Schubert
+ * @since 0.4.0
  */
 public class TrivialAllOutlier extends AbstractAlgorithm<OutlierResult> implements OutlierAlgorithm {
   /**
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialAverageCoordinateOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialAverageCoordinateOutlier.java
index 4fe722a2..06da97e3 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialAverageCoordinateOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialAverageCoordinateOutlier.java
@@ -48,6 +48,7 @@ import de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta;
  * convert a 1d data set into a score, e.g. in geodata.
  * 
  * @author Erich Schubert
+ * @since 0.4.0
  */
 public class TrivialAverageCoordinateOutlier extends AbstractAlgorithm<OutlierResult> implements OutlierAlgorithm {
   /**
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialGeneratedOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialGeneratedOutlier.java
index c837e246..82155c2b 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialGeneratedOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialGeneratedOutlier.java
@@ -64,6 +64,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter;
  * generator model information is still available.
  * 
  * @author Erich Schubert
+ * @since 0.5.0
  */
 public class TrivialGeneratedOutlier extends AbstractAlgorithm<OutlierResult> implements OutlierAlgorithm {
   /**
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialNoOutlier.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialNoOutlier.java
index e25c35f5..d5df4573 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialNoOutlier.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialNoOutlier.java
@@ -44,6 +44,7 @@ import de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore;
  * algorithm in comparisons.
  * 
  * @author Erich Schubert
+ * @since 0.4.0
  */
 public class TrivialNoOutlier extends AbstractAlgorithm<OutlierResult> implements OutlierAlgorithm {
   /**