ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac

Class ModifiedISACkMeans

java.lang.Object

ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.Kmeans<double[],java.lang.Double>

ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.ModifiedISACkMeans

public class ModifiedISACkMeans
extends Kmeans<double[],java.lang.Double>

Field Summary

Fields inherited from class ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.Kmeans

center, k, metric, points

Constructor Summary

Constructors

Constructor and Description
ModifiedISACkMeans(java.util.List<double[]> toClusterPoints, IDistanceMetric<java.lang.Double,double[],double[]> dist)

Method Summary

Modifier and Type	Method and Description
java.util.List<double[]>	getCenter()
void	initializeKMeans()
java.util.Map<double[],java.util.List<double[]>>	kmeanscluster(int k)

Methods inherited from class java.lang.Object

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

Constructor Detail

ModifiedISACkMeans

public ModifiedISACkMeans(java.util.List<double[]> toClusterPoints,
                          IDistanceMetric<java.lang.Double,double[],double[]> dist)

Method Detail

kmeanscluster

public java.util.Map<double[],java.util.List<double[]>> kmeanscluster(int k)

Specified by:

kmeanscluster in class Kmeans<double[],java.lang.Double>

initializeKMeans

public void initializeKMeans()

Specified by:

initializeKMeans in class Kmeans<double[],java.lang.Double>

getCenter

public java.util.List<double[]> getCenter()