1 files changed, 15 insertions, 17 deletions

diff --git a/src/de/lmu/ifi/dbs/elki/distance/distancefunction/subspace/SubspaceEuclideanDistanceFunction.java b/src/de/lmu/ifi/dbs/elki/distance/distancefunction/subspace/SubspaceEuclideanDistanceFunction.java
index d24fc62e..a48de183 100644
--- a/src/de/lmu/ifi/dbs/elki/distance/distancefunction/subspace/SubspaceEuclideanDistanceFunction.java
+++ b/src/de/lmu/ifi/dbs/elki/distance/distancefunction/subspace/SubspaceEuclideanDistanceFunction.java
@@ -4,7 +4,7 @@ package de.lmu.ifi.dbs.elki.distance.distancefunction.subspace;
  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
@@ -23,14 +23,13 @@ package de.lmu.ifi.dbs.elki.distance.distancefunction.subspace;
  along with this program.  If not, see <http://www.gnu.org/licenses/>.
  */
 
-import java.util.BitSet;
-
 import de.lmu.ifi.dbs.elki.data.NumberVector;
 import de.lmu.ifi.dbs.elki.data.spatial.SpatialComparable;
+import de.lmu.ifi.dbs.elki.utilities.BitsUtil;
 
 /**
- * Provides a distance function that computes the Euclidean distance between
- * feature vectors only in specified dimensions.
+ * Euclidean distance function between {@link NumberVector}s only in specified
+ * dimensions.
  * 
  * @author Elke Achtert
  */
@@ -40,13 +39,12 @@ public class SubspaceEuclideanDistanceFunction extends SubspaceLPNormDistanceFun
    * 
    * @param dimensions Selected dimensions
    */
-  public SubspaceEuclideanDistanceFunction(BitSet dimensions) {
+  public SubspaceEuclideanDistanceFunction(long[] dimensions) {
     super(2.0, dimensions);
   }
 
   /**
-   * Provides the Euclidean distance between two given feature vectors in the
-   * selected dimensions.
+   * Constructor.
    * 
    * @param v1 first feature vector
    * @param v2 second feature vector
@@ -54,13 +52,13 @@ public class SubspaceEuclideanDistanceFunction extends SubspaceLPNormDistanceFun
    *         selected dimensions
    */
   @Override
-  public double doubleDistance(NumberVector<?> v1, NumberVector<?> v2) {
+  public double distance(NumberVector v1, NumberVector v2) {
     if(v1.getDimensionality() != v2.getDimensionality()) {
       throw new IllegalArgumentException("Different dimensionality of FeatureVectors\n  " + "first argument: " + v1 + "\n  " + "second argument: " + v2);
     }
 
     double sqrDist = 0;
-    for(int d = dimensions.nextSetBit(0); d >= 0; d = dimensions.nextSetBit(d + 1)) {
+    for(int d = BitsUtil.nextSetBit(dimensions, 0); d >= 0; d = BitsUtil.nextSetBit(dimensions, d + 1)) {
       final double delta = v1.doubleValue(d) - v2.doubleValue(d);
       sqrDist += delta * delta;
     }
@@ -68,13 +66,13 @@ public class SubspaceEuclideanDistanceFunction extends SubspaceLPNormDistanceFun
   }
 
   @Override
-  protected double doubleMinDistObject(SpatialComparable mbr, NumberVector<?> v) {
+  protected double minDistObject(SpatialComparable mbr, NumberVector v) {
     if(mbr.getDimensionality() != v.getDimensionality()) {
       throw new IllegalArgumentException("Different dimensionality of objects\n  " + "first argument: " + mbr.toString() + "\n  " + "second argument: " + v.toString());
     }
 
     double sqrDist = 0;
-    for(int d = dimensions.nextSetBit(0); d >= 0; d = dimensions.nextSetBit(d + 1)) {
+    for(int d = BitsUtil.nextSetBit(dimensions, 0); d >= 0; d = BitsUtil.nextSetBit(dimensions, d + 1)) {
       final double delta;
       final double value = v.doubleValue(d);
       final double omin = mbr.getMin(d);
@@ -96,12 +94,12 @@ public class SubspaceEuclideanDistanceFunction extends SubspaceLPNormDistanceFun
   }
 
   @Override
-  public double doubleMinDist(SpatialComparable mbr1, SpatialComparable mbr2) {
+  public double minDist(SpatialComparable mbr1, SpatialComparable mbr2) {
     if(mbr1.getDimensionality() != mbr2.getDimensionality()) {
       throw new IllegalArgumentException("Different dimensionality of objects\n  " + "first argument: " + mbr1.toString() + "\n  " + "second argument: " + mbr2.toString());
     }
     double sqrDist = 0;
-    for(int d = dimensions.nextSetBit(0); d >= 0; d = dimensions.nextSetBit(d + 1)) {
+    for(int d = BitsUtil.nextSetBit(dimensions, 0); d >= 0; d = BitsUtil.nextSetBit(dimensions, d + 1)) {
       final double delta;
       final double max1 = mbr1.getMax(d);
       final double min2 = mbr2.getMin(d);
@@ -124,9 +122,9 @@ public class SubspaceEuclideanDistanceFunction extends SubspaceLPNormDistanceFun
   }
 
   @Override
-  public double doubleNorm(NumberVector<?> obj) {
+  public double norm(NumberVector obj) {
     double sqrDist = 0;
-    for(int d = dimensions.nextSetBit(0); d >= 0; d = dimensions.nextSetBit(d + 1)) {
+    for(int d = BitsUtil.nextSetBit(dimensions, 0); d >= 0; d = BitsUtil.nextSetBit(dimensions, d + 1)) {
       final double delta = obj.doubleValue(d);
       sqrDist += delta * delta;
     }
@@ -140,7 +138,7 @@ public class SubspaceEuclideanDistanceFunction extends SubspaceLPNormDistanceFun
    * 
    * @apiviz.exclude
    */
-  public static class Parameterizer extends AbstractDimensionsSelectingDoubleDistanceFunction.Parameterizer {
+  public static class Parameterizer extends AbstractDimensionsSelectingDistanceFunction.Parameterizer {
     @Override
     protected SubspaceEuclideanDistanceFunction makeInstance() {
       return new SubspaceEuclideanDistanceFunction(dimensions);