Package elki.data.model

Class KMeansModel

java.lang.Object

elki.data.model.SimplePrototypeModel<double[]>

elki.data.model.MeanModel

elki.data.model.KMeansModel

All Implemented Interfaces:

Model, PrototypeModel<double[]>, TextWriteable

public class KMeansModel
extends MeanModel

Trivial subclass of the MeanModel that indicates the clustering to be produced by k-means (so the Voronoi cell visualization is sensible).

Since:

0.5.5

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field	Description
(package private) double	varsum	Variance sum.

Fields inherited from class elki.data.model.SimplePrototypeModel

prototype

Fields inherited from interface elki.data.model.Model

TYPE

Constructor Summary

Constructors

Constructor	Description
KMeansModel(double[] mean, double varsum)	Constructor with mean.

Method Summary

Modifier and Type	Method	Description
double	getVarianceContribution()	Get the variance contribution of the cluster (sum of variances)

Methods inherited from class elki.data.model.MeanModel

getMean, getPrototypeType

Methods inherited from class elki.data.model.SimplePrototypeModel

getPrototype, prototypeToString, toString, writeToText

Methods inherited from class java.lang.Object

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

Methods inherited from interface elki.result.textwriter.TextWriteable

writeToText

Field Detail

varsum

double varsum

Variance sum.

Constructor Detail

KMeansModel

public KMeansModel(double[] mean,
                   double varsum)

Constructor with mean.

Parameters:

mean - Mean vector.

varsum - Variance sum.

Method Detail

getVarianceContribution

public double getVarianceContribution()

Get the variance contribution of the cluster (sum of variances)

Returns:

Sum of in-cluster variance