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

Class ParallelLloydKMeans.Parameterizer<V extends NumberVector>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer<V>

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

de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.ParallelLloydKMeans.Parameterizer<V>

Type Parameters:

V - Vector type

All Implemented Interfaces:

Parameterizer

Enclosing class:

ParallelLloydKMeans<V extends NumberVector>

public static class ParallelLloydKMeans.Parameterizer<V extends NumberVector>
extends AbstractKMeans.Parameterizer<V>

Parameterization class

Author:

Erich Schubert

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.AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer

distanceFunction

Constructor Summary

Constructors

Constructor and Description
ParallelLloydKMeans.Parameterizer()

Method Summary

Methods

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

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

getParameterDistanceFunction, getParameterInitialization, getParameterK, getParameterMaxIter, 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

ParallelLloydKMeans.Parameterizer

public ParallelLloydKMeans.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>

Returns:

Logger

makeInstance

protected ParallelLloydKMeans<V> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractKMeans.Parameterizer<V extends NumberVector>

Returns:

instance