marf.Classification.Distance
Class EuclideanDistance

java.lang.Object
  |
  +--marf.Storage.StorageManager
        |
        +--marf.Classification.Classification
              |
              +--marf.Classification.Distance.Distance
                    |
                    +--marf.Classification.Distance.EuclideanDistance

All Implemented Interfaces:

IStorageManager, java.io.Serializable

public class EuclideanDistance

extends Distance

Class EuclideanDistance.

$Id: EuclideanDistance.java,v 1.16 2005/05/30 11:59:47 mokhov Exp $

Since:

0.0.1

Version:

$Revision: 1.16 $

Author:

Stephen Sinclair

See Also:

Serialized Form

Field Summary

Fields inherited from class marf.Classification.Classification

oFeatureExtraction, oResultSet, oTrainingSet

Fields inherited from class marf.Storage.StorageManager

iCurrentDumpMode, oObjectToSerialize, strFilename

Fields inherited from interface marf.Storage.IStorageManager

DUMP_BINARY, DUMP_CSV_TEXT, DUMP_GZIP_BINARY, DUMP_HTML, DUMP_SQL, DUMP_XML, INTERFACE_CODE_REVISION, sastrExtensionsMap

Constructor Summary

EuclideanDistance(marf.FeatureExtraction.FeatureExtraction poFeatureExtraction)
EuclideanDistance Constructor.

Method Summary

double	distance(double[] paVector1, double[] paVector2) EuclideanDistance implementation.
static java.lang.String	getRevision() Retrieves class' revision.

Methods inherited from class marf.Classification.Distance.Distance

classify, getResult

Methods inherited from class marf.Classification.Classification

dump, getResultSet, getTrainingSetFilename, restore, train

Methods inherited from class marf.Storage.StorageManager

backSynchronizeObject, dumpBinary, dumpCSV, dumpGzipBinary, dumpHTML, dumpSQL, dumpXML, getDefaultExtension, getDefaultExtension, getDumpMode, getFilename, restoreBinary, restoreCSV, restoreGzipBinary, restoreHTML, restoreSQL, restoreXML, setDumpMode, setFilename

Methods inherited from class java.lang.Object

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

Constructor Detail

EuclideanDistance

public EuclideanDistance(marf.FeatureExtraction.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

getRevision

public static java.lang.String getRevision()

Retrieves class' revision.

Returns:

revision string

Since:

0.3.0