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

Class KMeansLloyd.Parameterizer<V extends NumberVector<?>,D extends Distance<D>>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer<NumberVector<?>,D>

de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Parameterizer<V,D>

de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansLloyd.Parameterizer<V,D>

All Implemented Interfaces:

Parameterizer

Enclosing class:

KMeansLloyd<V extends NumberVector<?>,D extends Distance<D>>

public static class KMeansLloyd.Parameterizer<V extends NumberVector<?>,D extends Distance<D>>
extends AbstractKMeans.Parameterizer<V,D>

Parameterization class.

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Parameterizer

initializer, k, maxiter

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer

distanceFunction

Constructor Summary

Constructors

Constructor and Description
KMeansLloyd.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected Logging	getLogger() Get class logger.
protected KMeansLloyd<V,D>	makeInstance() Make an instance after successful configuration.

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.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

KMeansLloyd.Parameterizer

public KMeansLloyd.Parameterizer()

Method Detail

getLogger

protected Logging getLogger()

Description copied from class: AbstractKMeans.Parameterizer

Get class logger.

Specified by:

getLogger in class AbstractKMeans.Parameterizer<V extends NumberVector<?>,D extends Distance<D>>

Returns:

Logger

makeInstance

protected KMeansLloyd<V,D> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractKMeans.Parameterizer<V extends NumberVector<?>,D extends Distance<D>>

Returns:

instance