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

Class BestOfMultipleKMeans.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.kmeans.BestOfMultipleKMeans.Parameterizer<V,M>

Type Parameters:

V - Vector type

M - Model type

All Implemented Interfaces:

Parameterizer

Enclosing class:

BestOfMultipleKMeans<V extends NumberVector,M extends MeanModel>

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

Parameterization class.

Author:

Stephan Baier, Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
static OptionID	KMEANS_ID Parameter to specify the kMeans variant.
protected KMeans<V,M>	kMeansVariant Variant of kMeans to use.
protected KMeansQualityMeasure<? super V>	qualityMeasure Quality measure.
static OptionID	QUALITYMEASURE_ID Parameter to specify the variant of quality measure.
protected int	trials Number of trials to perform.
static OptionID	TRIALS_ID Parameter to specify the iterations of the bisecting step.

Constructor Summary

Constructors

Constructor and Description
Parameterizer()

Method Summary

Modifier and Type	Method and Description
protected BestOfMultipleKMeans<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

TRIALS_ID

public static final OptionID TRIALS_ID

Parameter to specify the iterations of the bisecting step.

KMEANS_ID

public static final OptionID KMEANS_ID

Parameter to specify the kMeans variant.

QUALITYMEASURE_ID

public static final OptionID QUALITYMEASURE_ID

Parameter to specify the variant of quality measure.

trials

protected int trials

Number of trials to perform.

kMeansVariant

protected KMeans<V extends NumberVector,M extends MeanModel> kMeansVariant

Variant of kMeans to use.

qualityMeasure

protected KMeansQualityMeasure<? super V extends NumberVector> qualityMeasure

Quality measure.

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 BestOfMultipleKMeans<V,M> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance