com.sjm.machlearn.classifiers.knn
Class KNN

java.lang.Object
  |
  +--com.sjm.machlearn.util.MainClass
        |
        +--com.sjm.machlearn.classifiers.Classifier
              |
              +--com.sjm.machlearn.classifiers.knn.KNN

public class KNN

extends Classifier

Field Summary

protected int	k_nearest
protected KNNScoreInterface	score_object
protected DataSet	trainingData

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

KNN()

KNN(int k_n)

KNN(int k_n, KNNScoreInterface scoreobj)

Method Summary

Feature	classify(Example example)
Classifier	cloneClassifier()
int	getK()
protected KNNIndex[]	getNearest(DataSet td, Example example, int k)
protected KNNIndex[]	getNearest(Example example)
protected double	getScore(Example s1, Example s2)
protected void	getVote(DataSet td, Feature output_feature, KNNIndex[] nearest, int k_nearest)
protected void	getVote(Feature output_feature, KNNIndex[] nearest)
java.lang.String	printClassifier()
void	setK(int k)
void	setParameter(int i, java.lang.Object par)
void	train(DataSet tD)
void	tune(DataSet td, java.lang.Object[] parameters)

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

doTune, generateROCCurve, getAccuracy, getBothCat, getExampleWeight, getMisCat

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

score_object

protected KNNScoreInterface score_object

k_nearest

protected int k_nearest

trainingData

protected DataSet trainingData

Constructor Detail

KNN

public KNN()

KNN

public KNN(int k_n)

KNN

public KNN(int k_n,
           KNNScoreInterface scoreobj)

Method Detail

train

public void train(DataSet tD)

Overrides:

train in class Classifier

getK

public int getK()

setK

public void setK(int k)

classify

public Feature classify(Example example)

Overrides:

classify in class Classifier

getVote

protected void getVote(DataSet td,
                       Feature output_feature,
                       KNNIndex[] nearest,
                       int k_nearest)

getVote

protected void getVote(Feature output_feature,
                       KNNIndex[] nearest)

tune

public void tune(DataSet td,
                 java.lang.Object[] parameters)

getNearest

protected KNNIndex[] getNearest(DataSet td,
                                Example example,
                                int k)

getNearest

protected KNNIndex[] getNearest(Example example)

getScore

protected double getScore(Example s1,
                          Example s2)

printClassifier

public java.lang.String printClassifier()

Overrides:

printClassifier in class Classifier

cloneClassifier

public Classifier cloneClassifier()

Overrides:

cloneClassifier in class Classifier

setParameter

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

Overrides:

setParameter in class Classifier