marf.Classification.Distance
Class Distance

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

All Implemented Interfaces:

StorageManager

Direct Known Subclasses:

ChebyshevDistance, EuclideanDistance, MahalanobisDistance, MinkowskiDistance

public abstract class Distance

extends Classification

Class Distance

Abstract Distance Classifier

$Header: /cvsroot/marf/marf/src/marf/Classification/Distance/Distance.java,v 1.12.2.1 2003/02/16 18:08:54 mokhov Exp $

Fields inherited from class marf.Classification.Classification

oFeatureExtraction, oResult, oTrainingSet

Constructor Summary

Distance(FeatureExtraction poFeatureExtraction)
Distance Constructor

Method Summary

boolean	classify() Classify the feature vector based on whatever distance() derivatives implement.
abstract double	distance(double[] paVector1, double[] paVector2) Generic distance routine.

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

Distance

public Distance(FeatureExtraction poFeatureExtraction)

Distance Constructor

Parameters:

poFeatureExtraction - FeatureExtraction module reference

Method Detail

classify

public final boolean classify()
                       throws ClassificationException

Classify the feature vector based on whatever distance() derivatives implement.

Overrides:

classify in class Classification

Returns:

true if classification successful whatever that means

distance

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

Generic distance routine. To be overriden.

Returns:

distance between two feature vectors