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

Class EM.Parameterizer<V extends NumberVector,M extends MeanModel>

java.lang.Object

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

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

All Implemented Interfaces:

Parameterizer

Enclosing class:

EM<V extends NumberVector,M extends MeanModel>

public static class EM.Parameterizer<V extends NumberVector,M extends MeanModel>
extends AbstractParameterizer

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
protected double	delta Stopping threshold
static OptionID	DELTA_ID Parameter to specify the termination criterion for maximization of E(M): E(M) - E(M') < em.delta, must be a double equal to or greater than 0.
static OptionID	INIT_ID Parameter to specify the EM cluster models to use.
protected EMClusterModelFactory<V,M>	initializer Initialization method
protected int	k Number of clusters.
static OptionID	K_ID Parameter to specify the number of clusters to find, must be an integer greater than 0.
protected int	maxiter Maximum number of iterations.
(package private) double	prior Prior to enable MAP estimation (use 0 for MLE)
static OptionID	PRIOR_ID Parameter to specify the MAP prior

Constructor Summary

Constructors

Constructor and Description
Parameterizer()

Method Summary

Modifier and Type	Method and Description
protected EM<V,M>	makeInstance() Make an instance after successful configuration.
protected void	makeOptions(Parameterization config) Add all options.

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

Field Detail

K_ID

public static final OptionID K_ID

Parameter to specify the number of clusters to find, must be an integer greater than 0.

DELTA_ID

public static final OptionID DELTA_ID

Parameter to specify the termination criterion for maximization of E(M): E(M) - E(M') < em.delta, must be a double equal to or greater than 0.

INIT_ID

public static final OptionID INIT_ID

Parameter to specify the EM cluster models to use.

PRIOR_ID

public static final OptionID PRIOR_ID

Parameter to specify the MAP prior

k

protected int k

Number of clusters.

delta

protected double delta

Stopping threshold

initializer

protected EMClusterModelFactory<V extends NumberVector,M extends MeanModel> initializer

Initialization method

maxiter

protected int maxiter

Maximum number of iterations.

prior

double prior

Prior to enable MAP estimation (use 0 for MLE)

Constructor Detail

Parameterizer

public Parameterizer()

Method Detail

makeOptions

protected void makeOptions(Parameterization config)

Description copied from class: AbstractParameterizer

Add all options. ALWAYS call super.makeOptions(config), unless you have a strong reason to do otherwise!

Overrides:

makeOptions in class AbstractParameterizer

Parameters:

config - Parameterization to add options to.

makeInstance

protected EM<V,M> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance