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-rw-r--r--src/de/lmu/ifi/dbs/elki/distance/distancefunction/minkowski/SparseMaximumDistanceFunction.java10
1 files changed, 5 insertions, 5 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/distance/distancefunction/minkowski/SparseMaximumDistanceFunction.java b/src/de/lmu/ifi/dbs/elki/distance/distancefunction/minkowski/SparseMaximumDistanceFunction.java
index 4a516f7a..78c7f8e1 100644
--- a/src/de/lmu/ifi/dbs/elki/distance/distancefunction/minkowski/SparseMaximumDistanceFunction.java
+++ b/src/de/lmu/ifi/dbs/elki/distance/distancefunction/minkowski/SparseMaximumDistanceFunction.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
@@ -26,7 +26,7 @@ import de.lmu.ifi.dbs.elki.data.SparseNumberVector;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer;
/**
- * Maximum distance function. Optimized for sparse vectors.
+ * Maximum distance, optimized for {@link SparseNumberVector}s.
*
* @author Erich Schubert
*/
@@ -37,7 +37,7 @@ public class SparseMaximumDistanceFunction extends SparseLPNormDistanceFunction
public static final SparseMaximumDistanceFunction STATIC = new SparseMaximumDistanceFunction();
/**
- * Constructor.
+ * Constructor - use {@link #STATIC} instead.
*
* @deprecated Use static instance
*/
@@ -47,7 +47,7 @@ public class SparseMaximumDistanceFunction extends SparseLPNormDistanceFunction
}
@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();
@@ -99,7 +99,7 @@ public class SparseMaximumDistanceFunction extends SparseLPNormDistanceFunction
}
@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 = Math.abs(v1.iterDoubleValue(it));