marf.Classification.Distance
Class ChebyshevDistance

java.lang.Object
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  +--marf.Classification.Classification
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        +--marf.Classification.Distance.Distance
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              +--marf.Classification.Distance.ChebyshevDistance

All Implemented Interfaces:

StorageManager

public class ChebyshevDistance

extends Distance

Class ChebyshevDistance

$Header: /cvsroot/marf/marf/src/marf/Classification/Distance/ChebyshevDistance.java,v 1.6 2003/01/12 20:31:00 mokhov Exp $

Fields inherited from class marf.Classification.Classification

oFeatureExtraction, oResult, oTrainingSet

Constructor Summary

ChebyshevDistance(FeatureExtraction poFeatureExtraction)
ChebyshevDistance Constructor

Method Summary

double

distance(double[] paVector1, double[] paVector2) ChebyshevDistance implementation

Methods inherited from class marf.Classification.Distance.Distance

classify

Methods inherited from class marf.Classification.Classification

dump, getResult, restore, train

Methods inherited from class java.lang.Object

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

Constructor Detail

ChebyshevDistance

public ChebyshevDistance(FeatureExtraction poFeatureExtraction)

ChebyshevDistance Constructor

Parameters:

poFeatureExtraction - FeatureExtraction module reference

Method Detail

distance

public final double distance(double[] paVector1,
                             double[] paVector2)

ChebyshevDistance implementation

Overrides:

distance in class Distance

Parameters:

paVector1 - first vector to compare

paVector2 - second vector to compare

Returns:

Chebyshev (a.k.a city-block/Manhattan) distance between two feature vectors