Package elki.clustering.kmeans

Class FuzzyCMeans.Par

java.lang.Object

elki.clustering.kmeans.FuzzyCMeans.Par

All Implemented Interfaces:

Parameterizer

Enclosing class:

FuzzyCMeans<V extends NumberVector>

public static class FuzzyCMeans.Par
extends java.lang.Object
implements Parameterizer

Parameterization class.

Author:

Robert Gehde

Field Summary

Fields

Modifier and Type	Field	Description
protected double	delta	Stopping threshold
static OptionID	DELTA_ID	Parameter to specify the termination criterion for maximization of E(M): E(M) - E(M') < fcm.delta, must be a double equal to or greater than 0.
static OptionID	INIT_ID	Parameter for k-Means init for initial cluster centers
(package private) KMeansInitialization	initializer	K-Means init for initial cluster centers
protected int	k	Number of clusters.
static OptionID	K_ID	Parameter to specify the number of clusters to find, must be an integer greater than 0.
protected double	m	Weight exponent
static OptionID	M_ID	Parameter to set weight exponent
protected int	maxiter	Maximum number of iterations.
protected int	miniter	Minimum number of iterations.
static OptionID	MINITER_ID	Parameter to specify a minimum number of iterations
protected boolean	soft	retain soft assignments
static OptionID	SOFT_ID	Parameter to retain soft assignments

Constructor Summary

Constructors

Constructor	Description
Par()

Method Summary

Modifier and Type	Method	Description
void	configure(Parameterization config)	Configure the class.
FuzzyCMeans<NumberVector>	make()	Make an instance after successful configuration.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

K_ID

public static final OptionID K_ID

Parameter to specify the number of clusters to find, must be an integer greater than 0.

DELTA_ID

public static final OptionID DELTA_ID

Parameter to specify the termination criterion for maximization of E(M): E(M) - E(M') < fcm.delta, must be a double equal to or greater than 0.

MINITER_ID

public static final OptionID MINITER_ID

Parameter to specify a minimum number of iterations

M_ID

public static final OptionID M_ID

Parameter to set weight exponent

SOFT_ID

public static final OptionID SOFT_ID

Parameter to retain soft assignments

INIT_ID

public static final OptionID INIT_ID

Parameter for k-Means init for initial cluster centers

k

protected int k

Number of clusters.

delta

protected double delta

Stopping threshold

miniter

protected int miniter

Minimum number of iterations.

maxiter

protected int maxiter

Maximum number of iterations.

m

protected double m

Weight exponent

soft

protected boolean soft

retain soft assignments

initializer

KMeansInitialization initializer

K-Means init for initial cluster centers

Constructor Detail

Par

public Par()

Method Detail

configure

public void configure(Parameterization config)

Description copied from interface: Parameterizer

Configure the class.

Note: the status is collected by the parameterization object, so that multiple errors may arise and be reported in one run.

Specified by:

configure in interface Parameterizer

Parameters:

config - Parameterization

make

public FuzzyCMeans<NumberVector> make()

Description copied from interface: Parameterizer

Make an instance after successful configuration.

Note: your class should return the exact type, only this very broad interface should use Object as return type.

Specified by:

make in interface Parameterizer

Returns:

a new instance