1 files changed, 5 insertions, 5 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/distance/similarityfunction/Kulczynski2SimilarityFunction.java b/src/de/lmu/ifi/dbs/elki/distance/similarityfunction/Kulczynski2SimilarityFunction.java
index 8c678601..093dce00 100644
--- a/src/de/lmu/ifi/dbs/elki/distance/similarityfunction/Kulczynski2SimilarityFunction.java
+++ b/src/de/lmu/ifi/dbs/elki/distance/similarityfunction/Kulczynski2SimilarityFunction.java
@@ -4,7 +4,7 @@ package de.lmu.ifi.dbs.elki.distance.similarityfunction;
  This file is part of ELKI:
  Environment for Developing KDD-Applications Supported by Index-Structures
 
- Copyright (C) 2013
+ Copyright (C) 2014
  Ludwig-Maximilians-Universität München
  Lehr- und Forschungseinheit für Datenbanksysteme
  ELKI Development Team
@@ -24,7 +24,7 @@ package de.lmu.ifi.dbs.elki.distance.similarityfunction;
  */
 
 import de.lmu.ifi.dbs.elki.data.NumberVector;
-import de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceFunction;
+import de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractNumberVectorDistanceFunction;
 import de.lmu.ifi.dbs.elki.utilities.documentation.Reference;
 import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer;
 
@@ -42,7 +42,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer;
  * @author Erich Schubert
  */
 @Reference(authors = "M.-M. Deza and E. Deza", title = "Dictionary of distances", booktitle = "Dictionary of distances")
-public class Kulczynski2SimilarityFunction extends AbstractVectorDoubleSimilarityFunction {
+public class Kulczynski2SimilarityFunction extends AbstractVectorSimilarityFunction {
   /**
    * Static instance.
    */
@@ -59,8 +59,8 @@ public class Kulczynski2SimilarityFunction extends AbstractVectorDoubleSimilarit
   }
 
   @Override
-  public double doubleSimilarity(NumberVector<?> v1, NumberVector<?> v2) {
-    final int dim = AbstractVectorDoubleDistanceFunction.dimensionality(v1, v2);
+  public double similarity(NumberVector v1, NumberVector v2) {
+    final int dim = AbstractNumberVectorDistanceFunction.dimensionality(v1, v2);
     double sumx = 0., sumy = 0., summin = 0.;
     for (int i = 0; i < dim; i++) {
       double xi = v1.doubleValue(i), yi = v2.doubleValue(i);