Import Upstream version 0.7.1

1 files changed, 3 insertions, 2 deletions

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);