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

Class AffinityPropagationClusteringAlgorithm.Parameterizer<O>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm.Parameterizer<O>

Type Parameters:

O - object type

All Implemented Interfaces:

Parameterizer

Enclosing class:

AffinityPropagationClusteringAlgorithm<O>

public static class AffinityPropagationClusteringAlgorithm.Parameterizer<O>
extends AbstractParameterizer

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
(package private) int	convergence Number of stable iterations for convergence.
static OptionID	CONVERGENCE_ID Parameter for the convergence factor.
(package private) AffinityPropagationInitialization<O>	initialization Initialization function for the similarity matrix.
static OptionID	INITIALIZATION_ID Parameter for the similarity matrix initialization
(package private) double	lambda Dampening parameter.
static OptionID	LAMBDA_ID Parameter for the dampening factor.
(package private) int	maxiter Maximum number of iterations.
static OptionID	MAXITER_ID Parameter for the convergence factor.

Constructor Summary

Constructors

Constructor and Description
AffinityPropagationClusteringAlgorithm.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected AffinityPropagationClusteringAlgorithm<O>	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

INITIALIZATION_ID

public static final OptionID INITIALIZATION_ID

Parameter for the similarity matrix initialization

LAMBDA_ID

public static final OptionID LAMBDA_ID

Parameter for the dampening factor.

CONVERGENCE_ID

public static final OptionID CONVERGENCE_ID

Parameter for the convergence factor.

MAXITER_ID

public static final OptionID MAXITER_ID

Parameter for the convergence factor.

initialization

AffinityPropagationInitialization<O> initialization

Initialization function for the similarity matrix.

lambda

double lambda

Dampening parameter.

convergence

int convergence

Number of stable iterations for convergence.

maxiter

int maxiter

Maximum number of iterations.

Constructor Detail

AffinityPropagationClusteringAlgorithm.Parameterizer

public AffinityPropagationClusteringAlgorithm.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 AbstractParameterizer

Parameters:

config - Parameterization to add options to.

makeInstance

protected AffinityPropagationClusteringAlgorithm<O> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance