de.lmu.ifi.dbs.elki.distance.distancefunction

Class JeffreyDivergenceDistanceFunction

java.lang.Object

de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction<NumberVector<?>,DoubleDistance>

de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceFunction

de.lmu.ifi.dbs.elki.distance.distancefunction.JeffreyDivergenceDistanceFunction

All Implemented Interfaces:

DistanceFunction<NumberVector<?>,DoubleDistance>, NumberVectorDistanceFunction<DoubleDistance>, PrimitiveDistanceFunction<NumberVector<?>,DoubleDistance>, PrimitiveDoubleDistanceFunction<NumberVector<?>>, InspectionUtilFrequentlyScanned, Parameterizable

@Reference(authors="J. Puzicha, J.M. Buhmann, Y. Rubner, C. Tomasi",
           title="Empirical evaluation of dissimilarity measures for color and texture",
           booktitle="Proc. 7th IEEE International Conference on Computer Vision",
           url="http://dx.doi.org/10.1109/ICCV.1999.790412")
public class JeffreyDivergenceDistanceFunction
extends AbstractVectorDoubleDistanceFunction

Provides the Jeffrey Divergence Distance for FeatureVectors.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	JeffreyDivergenceDistanceFunction.Parameterizer Parameterization class, using the static instance.

Field Summary

Fields

Modifier and Type	Field and Description
static JeffreyDivergenceDistanceFunction	STATIC Static instance.

Constructor Summary

Constructors

Constructor and Description
JeffreyDivergenceDistanceFunction() Deprecated. Use static instance!

Method Summary

Methods

Modifier and Type	Method and Description
double	doubleDistance(NumberVector<?> v1, NumberVector<?> v2) Computes the distance between two given Objects according to this distance function.
boolean	equals(Object obj)
String	toString()

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceFunction

distance, getDistanceFactory, getInputTypeRestriction

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction

instantiate, isMetric, isSymmetric

Methods inherited from class java.lang.Object

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

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction

instantiate, isMetric, isSymmetric

Field Detail

STATIC

public static final JeffreyDivergenceDistanceFunction STATIC

Static instance. Use this!

Constructor Detail

JeffreyDivergenceDistanceFunction

@Deprecated
public JeffreyDivergenceDistanceFunction()

Deprecated. Use static instance!

Constructor for the Jeffrey divergence.

Method Detail

doubleDistance

public double doubleDistance(NumberVector<?> v1,
                    NumberVector<?> v2)

Description copied from interface: PrimitiveDoubleDistanceFunction

Computes the distance between two given Objects according to this distance function.

Parameters:

v1 - first Object

v2 - second Object

Returns:

the distance between two given Objects according to this distance function

toString

public String toString()

Overrides:

toString in class Object

equals

public boolean equals(Object obj)

Overrides:

equals in class Object