com.rapidminer.tools.math.similarity
Class BregmanDivergence

java.lang.Object
  com.rapidminer.tools.math.similarity.DistanceMeasure
      com.rapidminer.tools.math.similarity.BregmanDivergence

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

GeneralizedIDivergence, ItakuraSaitoDistance, KLDivergence, LogarithmicLoss, LogisticLoss, MahalanobisDistance, SquaredEuclideanDistance, SquaredLoss

public abstract class BregmanDivergence
extends DistanceMeasure

Abstract class that represents a bregman divergence.

Author:

Regina Fritsch

See Also:

Serialized Form

Constructor Summary

BregmanDivergence()

Method Summary

double	calculateSimilarity(double[] value1, double[] value2) This method does the similarity of the distance between two double arrays.
double	logXToBaseY(double number, double base)
double[]	vectorSubtraction(Example x, double[] y)

Methods inherited from class com.rapidminer.tools.math.similarity.DistanceMeasure

calculateDistance, calculateDistance, calculateDistance, calculateSimilarity, calculateSimilarity, init, init, init, isDistance, isSimilarity

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

BregmanDivergence

public BregmanDivergence()

Method Detail

vectorSubtraction

public double[] vectorSubtraction(Example x,
                                  double[] y)

logXToBaseY

public double logXToBaseY(double number,
                          double base)

calculateSimilarity

public double calculateSimilarity(double[] value1,
                                  double[] value2)

Description copied from class: DistanceMeasure

This method does the similarity of the distance between two double arrays. The meanings of the double values might be remembered from the init method.

Specified by:

calculateSimilarity in class DistanceMeasure

Returns:

the distance