de.lmu.ifi.dbs.elki.data.model

Class KMeansModel

java.lang.Object

de.lmu.ifi.dbs.elki.data.model.AbstractModel

de.lmu.ifi.dbs.elki.data.model.PrototypeModel<Vector>

de.lmu.ifi.dbs.elki.data.model.MeanModel

de.lmu.ifi.dbs.elki.data.model.KMeansModel

All Implemented Interfaces:

Model, 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).

Author:

Erich Schubert

Field Summary

Fields

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

Fields inherited from class de.lmu.ifi.dbs.elki.data.model.PrototypeModel

prototype

Constructor Summary

Constructors

Constructor and Description
KMeansModel(Vector mean, double varsum) Constructor with mean.

Method Summary

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

Methods inherited from class de.lmu.ifi.dbs.elki.data.model.MeanModel

getMean, getPrototypeType

Methods inherited from class de.lmu.ifi.dbs.elki.data.model.PrototypeModel

getPrototype, writeToText

Methods inherited from class java.lang.Object

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

Methods inherited from interface de.lmu.ifi.dbs.elki.result.textwriter.TextWriteable

writeToText

Field Detail

varsum

double varsum

Variance sum.

Constructor Detail

KMeansModel

public KMeansModel(Vector 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