com.sjm.machlearn.classifiers.lvq
Class LVQ

java.lang.Object
  |
  +--com.sjm.machlearn.util.MainClass
        |
        +--com.sjm.machlearn.classifiers.Classifier
              |
              +--com.sjm.machlearn.classifiers.lvq.LVQ

Direct Known Subclasses:

LVQ1, OLVQ1, SOM

public abstract class LVQ

extends Classifier

Field Summary

protected double	alpha
protected int[]	code_class_id
protected DoubleMatrix	code_vectors
protected BPFeatureVector	converter
protected int	max_epochs
protected int	nvectors
protected int	nweights

Fields inherited from class com.sjm.machlearn.classifiers.Classifier

Fold10Validation, JackKnifeValidation, Random10Validation

Fields inherited from class com.sjm.machlearn.util.MainClass

debug, debug_level, debug_listeners

Constructor Summary

LVQ()

LVQ(int nvec)

Method Summary

Feature	classify(Example example)
double[]	getDiff(double[] features, int code_index)
double[]	getDiff(Example example, int code_index)
double	getDist(double[] features, double[] code_vector)
double	getDist(Example ex, double[] code_vector)
int	getNearest(double[] features)
int	getNearest(Example ex)
abstract void	initializeLVQ()
void	initializeVectors(int nwgts)
void	runEpoch(DataSet td)
abstract void	runEpoch(double[][] trainingdata, int[] output)
void	setAlpha(double a)
void	setMaxEpochs(int me)
void	setNumVectors(int nv)
void	setParameter(int index, java.lang.Object par)
void	train(DataSet trainingData)

Methods inherited from class com.sjm.machlearn.classifiers.Classifier

cloneClassifier, doTune, generateROCCurve, getAccuracy, getBothCat, getExampleWeight, getMisCat, printClassifier

Methods inherited from class com.sjm.machlearn.util.MainClass

_internalError, _internalError, addDebugListener, debugMesg, debugMesg, debugMesg, debugMesg, debugMesg, debugMesg, debugOff, debugOn, internalError, internalError, setDebug, setDebugLevel

Methods inherited from class java.lang.Object

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

Field Detail

nweights

protected int nweights

nvectors

protected int nvectors

code_vectors

protected DoubleMatrix code_vectors

code_class_id

protected int[] code_class_id

alpha

protected double alpha

max_epochs

protected int max_epochs

converter

protected BPFeatureVector converter

Constructor Detail

LVQ

public LVQ()

LVQ

public LVQ(int nvec)

Method Detail

runEpoch

public abstract void runEpoch(double[][] trainingdata,
                              int[] output)

initializeLVQ

public abstract void initializeLVQ()

runEpoch

public void runEpoch(DataSet td)

setAlpha

public void setAlpha(double a)

setMaxEpochs

public void setMaxEpochs(int me)

setNumVectors

public void setNumVectors(int nv)

classify

public Feature classify(Example example)

Overrides:

classify in class Classifier

initializeVectors

public void initializeVectors(int nwgts)

train

public void train(DataSet trainingData)
           throws java.lang.Exception

Overrides:

train in class Classifier

getDiff

public double[] getDiff(double[] features,
                        int code_index)

getDiff

public double[] getDiff(Example example,
                        int code_index)

getNearest

public int getNearest(double[] features)

getNearest

public int getNearest(Example ex)

getDist

public double getDist(Example ex,
                      double[] code_vector)

getDist

public double getDist(double[] features,
                      double[] code_vector)

setParameter

public void setParameter(int index,
                         java.lang.Object par)

Overrides:

setParameter in class Classifier