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

Class AbstractKMeans.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>

All Implemented Interfaces:

Parameterizer

Direct Known Subclasses:

KMeansBatchedLloyd.Parameterizer, KMeansHybridLloydMacQueen.Parameterizer, KMeansLloyd.Parameterizer, KMeansMacQueen.Parameterizer, KMediansLloyd.Parameterizer

Enclosing class:

AbstractKMeans<V extends NumberVector<?>,D extends Distance<D>,M extends MeanModel<V>>

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

Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
protected KMeansInitialization<V>	initializer Initialization method.
protected int	k k Parameter.
protected int	maxiter Maximum number of iterations.

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

distanceFunction

Constructor Summary

Constructors

Constructor and Description
AbstractKMeans.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected abstract Logging	getLogger() Get class logger.
protected abstract AbstractKMeans<V,D,?>	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

protected int k

k Parameter.

maxiter

protected int maxiter

Maximum number of iterations.

initializer

protected KMeansInitialization<V extends NumberVector<?>> initializer

Initialization method.

Constructor Detail

AbstractKMeans.Parameterizer

public AbstractKMeans.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 AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer<NumberVector<?>,D extends Distance<D>>

Parameters:

config - Parameterization to add options to.

getLogger

protected abstract Logging getLogger()

Get class logger.

Returns:

Logger

makeInstance

protected abstract AbstractKMeans<V,D,?> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance