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

Class AbstractKMeans.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>

All Implemented Interfaces:

Parameterizer

Direct Known Subclasses:

KMeansBatchedLloyd.Parameterizer, KMeansElkan.Parameterizer, KMeansHamerly.Parameterizer, KMeansHybridLloydMacQueen.Parameterizer, KMeansLloyd.Parameterizer, KMeansMacQueen.Parameterizer, KMediansLloyd.Parameterizer, ParallelLloydKMeans.Parameterizer, SingleAssignmentKMeans.Parameterizer, XMeans.Parameterizer

Enclosing class:

AbstractKMeans<V extends NumberVector,M extends Model>

public abstract static class AbstractKMeans.Parameterizer<V extends NumberVector>
extends AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer<V>

Parameterization class.

Author:

Erich Schubert

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.AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer

distanceFunction

Constructor Summary

Constructors

Constructor and Description
Parameterizer()

Method Summary

Modifier and Type	Method and Description
protected abstract Logging	getLogger() Get class logger.
protected void	getParameterDistanceFunction(Parameterization config) Get the distance function parameter.
protected void	getParameterInitialization(Parameterization config) Get the initialization method parameter.
protected void	getParameterK(Parameterization config) Get the k parameter.
protected void	getParameterMaxIter(Parameterization config) Get the max iterations parameter.
protected abstract AbstractKMeans<V,?>	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

Parameterizer

public 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 AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer<V extends NumberVector>

Parameters:

config - Parameterization to add options to.

getParameterK

protected void getParameterK(Parameterization config)

Get the k parameter.

Parameters:

config - Parameterization

getParameterDistanceFunction

protected void getParameterDistanceFunction(Parameterization config)

Get the distance function parameter.

Parameters:

config - Parameterization

getParameterInitialization

protected void getParameterInitialization(Parameterization config)

Get the initialization method parameter.

Parameters:

config - Parameterization

getParameterMaxIter

protected void getParameterMaxIter(Parameterization config)

Get the max iterations parameter.

Parameters:

config - Parameterization

getLogger

protected abstract Logging getLogger()

Get class logger.

Returns:

Logger

makeInstance

protected abstract AbstractKMeans<V,?> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance