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

Class Kmeans<A,D>

java.lang.Object

ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.Kmeans<A,D>

Type Parameters:

A - The to cluster points

D - The Type of the distance measure.

Direct Known Subclasses:

ModifiedISACkMeans

public abstract class Kmeans<A,D>
extends java.lang.Object

Field Summary

Fields

Modifier and Type	Field and Description
protected java.util.List<A>	center
protected int	k
protected IDistanceMetric<D,A,A>	metric
protected java.util.List<A>	points

Constructor Summary

Constructors

Constructor and Description
Kmeans(java.util.List<A> toClusterPoints, IDistanceMetric<D,A,A> dist)

Method Summary

Modifier and Type	Method and Description
abstract void	initializeKMeans()
abstract 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

Field Detail

points

protected java.util.List<A> points

center

protected java.util.List<A> center

k

protected int k

metric

protected IDistanceMetric<D,A,A> metric

Constructor Detail

Kmeans

public Kmeans(java.util.List<A> toClusterPoints,
              IDistanceMetric<D,A,A> dist)

Method Detail

kmeanscluster

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

initializeKMeans

public abstract void initializeKMeans()