de.lmu.ifi.dbs.elki.algorithm.clustering.em

Class AbstractEMModelFactory<V extends NumberVector,M extends MeanModel>

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.clustering.em.AbstractEMModelFactory<V,M>

Type Parameters:

V - Vector type

M - Model type

All Implemented Interfaces:

EMClusterModelFactory<V,M>

Direct Known Subclasses:

DiagonalGaussianModelFactory, MultivariateGaussianModelFactory, SphericalGaussianModelFactory, TextbookMultivariateGaussianModelFactory, TwoPassMultivariateGaussianModelFactory

public abstract class AbstractEMModelFactory<V extends NumberVector,M extends MeanModel>
extends java.lang.Object
implements EMClusterModelFactory<V,M>

Abstract base class for initializing EM.

Since:

0.7.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AbstractEMModelFactory.Parameterizer<V extends NumberVector> Parameterization class.

Field Summary

Fields

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

Constructor Summary

Constructors

Constructor and Description
AbstractEMModelFactory(KMeansInitialization initializer) Constructor.

Method Summary

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.algorithm.clustering.em.EMClusterModelFactory

buildInitialModels

Field Detail

initializer

protected KMeansInitialization initializer

Class to choose the initial means

Constructor Detail

AbstractEMModelFactory

public AbstractEMModelFactory(KMeansInitialization initializer)

Constructor.

Parameters:

initializer - Class for choosing the initial seeds.