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

Class KMeansHamerly.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.KMeansHamerly.Parameterizer<V>

All Implemented Interfaces:

Parameterizer

Enclosing class:

KMeansHamerly<V extends NumberVector>

public static class KMeansHamerly.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
Parameterizer()

Method Summary

Modifier and Type	Method and Description
protected Logging	getLogger() Get class logger.
protected void	getParameterDistanceFunction(Parameterization config) Get the distance function parameter.
protected KMeansHamerly<V>	makeInstance() Make an instance after successful configuration.

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

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

Parameterizer

public 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

getParameterDistanceFunction

protected void getParameterDistanceFunction(Parameterization config)

Description copied from class: AbstractKMeans.Parameterizer

Get the distance function parameter.

Overrides:

getParameterDistanceFunction in class AbstractKMeans.Parameterizer<V extends NumberVector>

Parameters:

config - Parameterization

makeInstance

protected KMeansHamerly<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