marf.Classification.Distance
Class EuclideanDistance

java.lang.Object
  marf.Classification.Classification
      marf.Classification.Distance.Distance
          marf.Classification.Distance.EuclideanDistance

All Implemented Interfaces:

StorageManager

public class EuclideanDistance

extends Distance

Class EuclideanDistance

$Header: /cvsroot/marf/marf/src/marf/Classification/Distance/EuclideanDistance.java,v 1.14 2004/04/20 16:38:17 mokhov Exp $

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

EuclideanDistance(FeatureExtraction poFeatureExtraction)
EuclideanDistance Constructor

Method Summary

double

distance(double[] paVector1, double[] paVector2) EuclideanDistance 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

EuclideanDistance

public EuclideanDistance(FeatureExtraction poFeatureExtraction)

EuclideanDistance Constructor

Parameters:

poFeatureExtraction - FeatureExtraction module reference

Method Detail

distance

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

EuclideanDistance implementation

Specified by:

distance in class Distance

Parameters:

paVector1 - first vector to compare

paVector2 - second vector to compare

Returns:

Euclidean distance between two feature vectors