dragon.ir.clustering.docdistance

Class KLDivDocDistance

java.lang.Object

dragon.ir.clustering.docdistance.AbstractDocDistance

dragon.ir.clustering.docdistance.KLDivDocDistance

All Implemented Interfaces:

DocDistance

public class KLDivDocDistance
extends AbstractDocDistance

Document distance measure of using KL divergence

Copyright: Copyright (c) 2005

Company: IST, Drexel University

Version:

1.0

Author:

Davis Zhou

Field Summary

Fields inherited from class dragon.ir.clustering.docdistance.AbstractDocDistance

featureFilter, matrix

Constructor Summary

Constructors

Constructor and Description
KLDivDocDistance(DoubleSparseMatrix docModelMatrix)
KLDivDocDistance(DoubleSparseMatrix doctermMatrix, double normThreshold)
KLDivDocDistance(IndexReader indexReader, DoubleSparseMatrix docModelMatrix)
KLDivDocDistance(IndexReader indexReader, DoubleSparseMatrix doctermMatrix, double normThreshold)

Method Summary

Modifier and Type	Method and Description
double	getDistance(IRDoc first, IRDoc second)

Methods inherited from class dragon.ir.clustering.docdistance.AbstractDocDistance

getFeatureFilter, setFeatureFilter

Methods inherited from class java.lang.Object

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

Constructor Detail

KLDivDocDistance

public KLDivDocDistance(DoubleSparseMatrix docModelMatrix)

KLDivDocDistance

public KLDivDocDistance(DoubleSparseMatrix doctermMatrix,
                        double normThreshold)

KLDivDocDistance

public KLDivDocDistance(IndexReader indexReader,
                        DoubleSparseMatrix docModelMatrix)

KLDivDocDistance

public KLDivDocDistance(IndexReader indexReader,
                        DoubleSparseMatrix doctermMatrix,
                        double normThreshold)

Method Detail

getDistance

public double getDistance(IRDoc first,
                          IRDoc second)

Parameters:

first - the first document

second - the second document

Returns:

the distance of the given document pair