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

Class KMeansBatchedLloyd.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.KMeansBatchedLloyd.Parameterizer<V,D>

All Implemented Interfaces:

Parameterizer

Enclosing class:

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

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

Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
(package private) int	blocks Number of blocks.
static OptionID	BLOCKS_ID Parameter for the number of blocks.
(package private) RandomFactory	random Random used for partitioning.
static OptionID	RANDOM_ID Random source for blocking.

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
KMeansBatchedLloyd.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected Logging	getLogger() Get class logger.
protected KMeansBatchedLloyd<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

BLOCKS_ID

public static final OptionID BLOCKS_ID

Parameter for the number of blocks.

RANDOM_ID

public static final OptionID RANDOM_ID

Random source for blocking.

blocks

int blocks

Number of blocks.

random

RandomFactory random

Random used for partitioning.

Constructor Detail

KMeansBatchedLloyd.Parameterizer

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

Parameters:

config - Parameterization to add options to.

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 KMeansBatchedLloyd<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