de.lmu.ifi.dbs.elki.data.model
Class EMModel<V extends RealVector<V,?>>

java.lang.Object
  de.lmu.ifi.dbs.elki.data.model.BaseModel
      de.lmu.ifi.dbs.elki.data.model.EMModel<V>

Type Parameters:

V -

All Implemented Interfaces:

Model

public class EMModel<V extends RealVector<V,?>>
extends BaseModel

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

Author:

Erich Schubert

Field Summary

private Matrix	covarianceMatrix Cluster covariance matrix
private V	mean Cluster mean

Constructor Summary

EMModel(V mean, Matrix covarianceMatrix)
Constructor.

Method Summary

Matrix	getCovarianceMatrix()
V	getMean()
void	setCovarianceMatrix(Matrix covarianceMatrix)
void	setMean(V mean)
void	writeToText(TextWriterStream out, String label) Implement writeToText as per TextWriteable interface.

Methods inherited from class java.lang.Object

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

Field Detail

mean

private V extends RealVector<V,?> mean

Cluster mean

covarianceMatrix

private Matrix covarianceMatrix

Cluster covariance matrix

Constructor Detail

EMModel

public EMModel(V mean,
               Matrix covarianceMatrix)

Constructor.

Parameters:

mean -

covarianceMatrix -

Method Detail

writeToText

public void writeToText(TextWriterStream out,
                        String label)

Description copied from class: BaseModel

Implement writeToText as per TextWriteable interface. However BaseModel is not given the interface directly, since it is meant as signal to make Models printable.

Overrides:

writeToText in class BaseModel

getMean

public V getMean()

Returns:

mean

setMean

public void setMean(V mean)

Parameters:

mean -

getCovarianceMatrix

public Matrix getCovarianceMatrix()

Returns:

covariance matrix

setCovarianceMatrix

public void setCovarianceMatrix(Matrix covarianceMatrix)

Parameters:

covarianceMatrix -