weka.classifiers.neural.lvq
Class Lvq3

java.lang.Object
  weka.classifiers.Classifier
      weka.classifiers.neural.lvq.AlgorithmAncestor
          weka.classifiers.neural.lvq.LvqAlgorithmAncestor
              weka.classifiers.neural.lvq.Lvq3

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, weka.core.OptionHandler, weka.core.WeightedInstancesHandler

Direct Known Subclasses:

Olvq3

public class Lvq3
extends LvqAlgorithmAncestor

Description: Implementation of the LVQ3 algorithm for use in WEKA
Copyright (c) Jason Brownlee 2004

Author:

Jason Brownlee

See Also:

Serialized Form

Constructor Summary

Lvq3()

Method Summary

java.lang.String	epsilonTipText() Epsilon tip
double	getEpsilon()
double	getWindowSize()
java.lang.String	globalInfo() Returns information about this algorithm implementation
static void	main(java.lang.String[] args) Entry point into the algorithm for direct usage
void	setEpsilon(double d)
void	setWindowSize(double d)
java.lang.String	windowSizeTipText() Window size tip

Methods inherited from class weka.classifiers.neural.lvq.LvqAlgorithmAncestor

getLearningFunction, getLearningRate, getOptions, getTotalCodebookVectors, getTotalTrainingIterations, initialisationModeTipText, learningFunctionTipText, learningRateTipText, listOptions, randomSeedTipText, setLearningFunction, setLearningRate, setOptions, setTotalCodebookVectors, setTotalTrainingIterations, totalCodebookVectorsTipText, totalTrainingIterationsTipText, useVotingTipText

Methods inherited from class weka.classifiers.neural.lvq.AlgorithmAncestor

addEpochEventListener, buildClassifier, calculateQuantisationError, distributionForInstance, getInitialisationMode, getModel, getSeed, getTotalTrainingBmuHits, getTrainingBmuUsage, getUseVoting, prepareBuildTimeReport, prepareClassDistributionReport, prepareCodebookVectorReport, prepareIndividualClassDistributionReport, prepareTrainingBMUReport, quantisationErrorReport, setInitialisationMode, setPreInitialisedModel, setPrepareBmuStatistis, setSeed, setUseVoting, toString

Methods inherited from class weka.classifiers.Classifier

classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

Lvq3

public Lvq3()

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns information about this algorithm implementation

Specified by:

globalInfo in class AlgorithmAncestor

Returns:

String

windowSizeTipText

public java.lang.String windowSizeTipText()

Window size tip

Returns:

epsilonTipText

public java.lang.String epsilonTipText()

Epsilon tip

Returns:

main

public static void main(java.lang.String[] args)

Entry point into the algorithm for direct usage

Parameters:

args -

getEpsilon

public double getEpsilon()

Returns:

getWindowSize

public double getWindowSize()

Returns:

setEpsilon

public void setEpsilon(double d)

Parameters:

d -

setWindowSize

public void setWindowSize(double d)

Parameters:

d -