Package elki.clustering.em.models

Class SphericalGaussianModelFactory

java.lang.Object

elki.clustering.em.models.SphericalGaussianModelFactory

All Implemented Interfaces:

EMClusterModelFactory<NumberVector,EMModel>

public class SphericalGaussianModelFactory
extends java.lang.Object
implements EMClusterModelFactory<NumberVector,EMModel>

Factory for EM with multivariate gaussian models using a single variance.

These models have a single variances, no covariance, so this corresponds to the 'VII' model in Mclust (R).

Since:

0.7.0

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field	Description
protected KMeansInitialization	initializer	Class to choose the initial means

Fields inherited from interface elki.clustering.em.models.EMClusterModelFactory

INIT_ID

Constructor Summary

Constructors

Constructor	Description
SphericalGaussianModelFactory(KMeansInitialization initializer)	Constructor.

Method Summary

Modifier and Type	Method	Description
java.util.List<SphericalGaussianModel>	buildInitialModels(Relation<? extends NumberVector> relation, int k)	Build the initial models

Methods inherited from class java.lang.Object

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

Field Detail

initializer

protected KMeansInitialization initializer

Class to choose the initial means

Constructor Detail

SphericalGaussianModelFactory

public SphericalGaussianModelFactory(KMeansInitialization initializer)

Constructor.

Parameters:

initializer - Class for choosing the initial seeds.

Method Detail

buildInitialModels

public java.util.List<SphericalGaussianModel> buildInitialModels(Relation<? extends NumberVector> relation,
                                                                 int k)

Description copied from interface: EMClusterModelFactory

Build the initial models

Specified by:

buildInitialModels in interface EMClusterModelFactory<NumberVector,EMModel>

Parameters:

relation - Relation

k - Number of clusters

Returns:

Initial models