1 files changed, 5 insertions, 2 deletions
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/KNNDistancesSampler.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/KNNDistancesSampler.java
index 3e78ba77..a81823c1 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/KNNDistancesSampler.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/KNNDistancesSampler.java
@@ -41,6 +41,7 @@ import de.lmu.ifi.dbs.elki.logging.Logging;
 import de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress;
 import de.lmu.ifi.dbs.elki.math.geometry.XYCurve;
 import de.lmu.ifi.dbs.elki.math.random.RandomFactory;
+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.Title;
 import de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID;
@@ -59,11 +60,13 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.RandomParameter;
  * and look for a bend or knee in this plot.
  *
  * @author Arthur Zimek
+ * @since 0.7.0
  *
  * @param <O> the type of objects handled by this Algorithm
  */
 @Title("KNN-Distance-Order")
 @Description("Assesses the knn distances for a specified k and orders them.")
+@Alias("de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder")
 public class KNNDistancesSampler<O> extends AbstractDistanceBasedAlgorithm<O, KNNDistanceOrderResult> {
   /**
    * The logger for this class.
@@ -115,7 +118,7 @@ public class KNNDistancesSampler<O> extends AbstractDistanceBasedAlgorithm<O, KN
     final int size = (int) ((sample <= 1.) ? Math.ceil(relation.size() * sample) : sample);
     DBIDs sample = DBIDUtil.randomSample(relation.getDBIDs(), size, rnd);
 
-    FiniteProgress prog = LOG.isVerbose() ? new FiniteProgress("Sampling kNN distances.", size, LOG) : null;
+    FiniteProgress prog = LOG.isVerbose() ? new FiniteProgress("Sampling kNN distances", size, LOG) : null;
     double[] knnDistances = new double[size];
     int i = 0;
     for(DBIDIter iditer = sample.iter(); iditer.valid(); iditer.advance(), i++) {
@@ -251,4 +254,4 @@ public class KNNDistancesSampler<O> extends AbstractDistanceBasedAlgorithm<O, KN
       return new KNNDistancesSampler<>(distanceFunction, k, percentage, rnd);
     }
   }
-}
-\ No newline at end of file
+}