diff options
Diffstat (limited to 'src/de/lmu/ifi/dbs/elki/distance/distancefunction/probabilistic/KullbackLeiblerDivergenceAsymmetricDistanceFunction.java')
-rw-r--r-- | src/de/lmu/ifi/dbs/elki/distance/distancefunction/probabilistic/KullbackLeiblerDivergenceAsymmetricDistanceFunction.java | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/distance/distancefunction/probabilistic/KullbackLeiblerDivergenceAsymmetricDistanceFunction.java b/src/de/lmu/ifi/dbs/elki/distance/distancefunction/probabilistic/KullbackLeiblerDivergenceAsymmetricDistanceFunction.java index c0f61d43..2f27f78a 100644 --- a/src/de/lmu/ifi/dbs/elki/distance/distancefunction/probabilistic/KullbackLeiblerDivergenceAsymmetricDistanceFunction.java +++ b/src/de/lmu/ifi/dbs/elki/distance/distancefunction/probabilistic/KullbackLeiblerDivergenceAsymmetricDistanceFunction.java @@ -4,7 +4,7 @@ package de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic; This file is part of ELKI: Environment for Developing KDD-Applications Supported by Index-Structures - Copyright (C) 2011 + 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.distancefunction.probabilistic; */ 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.Alias; import de.lmu.ifi.dbs.elki.utilities.documentation.Reference; import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer; @@ -49,7 +49,7 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer; */ @Reference(authors = "S. Kullback", title = "Information theory and statistics", booktitle = "Information theory and statistics, Courier Dover Publications, 1997.") @Alias("kl") -public class KullbackLeiblerDivergenceAsymmetricDistanceFunction extends AbstractVectorDoubleDistanceFunction { +public class KullbackLeiblerDivergenceAsymmetricDistanceFunction extends AbstractNumberVectorDistanceFunction { /** * Static instance. Use this! */ @@ -66,7 +66,7 @@ public class KullbackLeiblerDivergenceAsymmetricDistanceFunction extends Abstrac } @Override - public double doubleDistance(NumberVector<?> v1, NumberVector<?> v2) { + public double distance(NumberVector v1, NumberVector v2) { final int dim = dimensionality(v1, v2); double agg = 0.; for (int d = 0; d < dim; d++) { |