marf.Classification.Distance
Class ChebyshevDistance

java.lang.Object
  marf.Classification.Classification
      marf.Classification.Distance.Distance
          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 1.8 2004/04/20 16:38:16 mokhov Exp $

Author:

Serguei

Field Summary

Fields inherited from class marf.Classification.Classification

oFeatureExtraction, oResult, oTrainingSet

Fields inherited from interface marf.Storage.StorageManager

DUMP_BINARY, DUMP_CSV_TEXT, DUMP_GZIP_BINARY, DUMP_XML

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

Specified by:

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