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

Class MultivariateGaussianModelFactory.Parameterizer<V extends NumberVector>

java.lang.Object

de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

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

de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModelFactory.Parameterizer<V>

Type Parameters:

V - Vector type

All Implemented Interfaces:

Parameterizer

Enclosing class:

MultivariateGaussianModelFactory<V extends NumberVector>

public static class MultivariateGaussianModelFactory.Parameterizer<V extends NumberVector>
extends AbstractEMModelFactory.Parameterizer<V>

Parameterization class

Author:

Erich Schubert

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.em.AbstractEMModelFactory.Parameterizer

INIT_ID, initializer

Constructor Summary

Constructors

Constructor and Description
MultivariateGaussianModelFactory.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected MultivariateGaussianModelFactory<V>	makeInstance() Make an instance after successful configuration.

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.em.AbstractEMModelFactory.Parameterizer

makeOptions

Methods inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

configure, make

Methods inherited from class java.lang.Object

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

Constructor Detail

MultivariateGaussianModelFactory.Parameterizer

public MultivariateGaussianModelFactory.Parameterizer()

Method Detail

makeInstance

protected MultivariateGaussianModelFactory<V> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance