1 files changed, 5 insertions, 5 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/distance/distancefunction/minkowski/SparseEuclideanDistanceFunction.java b/src/de/lmu/ifi/dbs/elki/distance/distancefunction/minkowski/SparseEuclideanDistanceFunction.java
index 8fcf0c84..204c5c4a 100644
--- a/src/de/lmu/ifi/dbs/elki/distance/distancefunction/minkowski/SparseEuclideanDistanceFunction.java
+++ b/src/de/lmu/ifi/dbs/elki/distance/distancefunction/minkowski/SparseEuclideanDistanceFunction.java
@@ -4,7 +4,7 @@ package de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski;
  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
@@ -27,7 +27,7 @@ import de.lmu.ifi.dbs.elki.data.SparseNumberVector;
 import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer;
 
 /**
- * Euclidean distance function. Optimized for sparse vectors.
+ * Euclidean distance function, optimized for {@link SparseNumberVector}s.
  * 
  * @author Erich Schubert
  */
@@ -38,7 +38,7 @@ public class SparseEuclideanDistanceFunction extends SparseLPNormDistanceFunctio
   public static final SparseEuclideanDistanceFunction STATIC = new SparseEuclideanDistanceFunction();
 
   /**
-   * Constructor.
+   * Constructor - use {@link #STATIC} instead.
    * 
    * @deprecated Use static instance instead.
    */
@@ -48,7 +48,7 @@ public class SparseEuclideanDistanceFunction extends SparseLPNormDistanceFunctio
   }
 
   @Override
-  public double doubleDistance(SparseNumberVector<?> v1, SparseNumberVector<?> v2) {
+  public double distance(SparseNumberVector v1, SparseNumberVector v2) {
     // Get the bit masks
     double accu = 0.;
     int i1 = v1.iter(), i2 = v2.iter();
@@ -90,7 +90,7 @@ public class SparseEuclideanDistanceFunction extends SparseLPNormDistanceFunctio
   }
 
   @Override
-  public double doubleNorm(SparseNumberVector<?> v1) {
+  public double norm(SparseNumberVector v1) {
     double accu = 0.;
     for(int it = v1.iter(); v1.iterValid(it); it = v1.iterAdvance(it)) {
       final double val = v1.iterDoubleValue(it);