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

Class EMModel

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.EMModel

All Implemented Interfaces:

Model, TextWriteable

public class EMModel
extends MeanModel

Cluster model of an EM cluster, providing a mean and a full covariance Matrix.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
private Matrix	covarianceMatrix Cluster covariance matrix

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

prototype

Constructor Summary

Constructors

Constructor and Description
EMModel(Vector mean, Matrix covarianceMatrix) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
Matrix	getCovarianceMatrix()
void	setCovarianceMatrix(Matrix covarianceMatrix)
void	writeToText(TextWriterStream out, String label) Implementation of TextWriteable interface.

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

Methods inherited from class java.lang.Object

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

Field Detail

covarianceMatrix

private Matrix covarianceMatrix

Cluster covariance matrix

Constructor Detail

EMModel

public EMModel(Vector mean,
       Matrix covarianceMatrix)

Constructor.

Parameters:

mean - Mean vector

covarianceMatrix - Covariance matrix

Method Detail

writeToText

public void writeToText(TextWriterStream out,
               String label)

Description copied from class: PrototypeModel

Implementation of TextWriteable interface.

Specified by:

writeToText in interface TextWriteable

Overrides:

writeToText in class PrototypeModel<Vector>

Parameters:

out - Output steam

label - Optional label to prefix

getCovarianceMatrix

public Matrix getCovarianceMatrix()

Returns:

covariance matrix

setCovarianceMatrix

public void setCovarianceMatrix(Matrix covarianceMatrix)

Parameters:

covarianceMatrix - covariance matrix