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

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

Abstract base class for initializing EM.

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<V>	initializer Class to choose the initial means

Constructor Summary

Constructors

Constructor and Description
AbstractEMModelFactory(KMeansInitialization<V> 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<V extends NumberVector> initializer

Class to choose the initial means

Constructor Detail

AbstractEMModelFactory

public AbstractEMModelFactory(KMeansInitialization<V> initializer)

Constructor.

Parameters:

initializer - Class for choosing the initial seeds.