Package elki.clustering.kmeans

Class KMeansMinusMinus.Par<V extends NumberVector>

java.lang.Object

elki.clustering.kmeans.AbstractKMeans.Par<V>

elki.clustering.kmeans.KMeansMinusMinus.Par<V>

All Implemented Interfaces:

Parameterizer

Enclosing class:

KMeansMinusMinus<V extends NumberVector>

public static class KMeansMinusMinus.Par<V extends NumberVector>
extends AbstractKMeans.Par<V>

Parameterization class.

Author:

Jonas Steinke

Field Summary

Fields

Modifier and Type	Field	Description
static OptionID	NOISE_FLAG_ID	Flag to produce a "noise" cluster, instead of assigning them to the nearest neighbor.
private boolean	noiseFlag	Noise cluster flag.
private double	rate	Outlier rate.
static OptionID	RATE_ID	Parameter to specify the number of neighbors to ignore.

Fields inherited from class elki.clustering.kmeans.AbstractKMeans.Par

distance, initializer, k, maxiter, varstat

Constructor Summary

Constructors

Constructor	Description
Par()

Method Summary

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

Methods inherited from class elki.clustering.kmeans.AbstractKMeans.Par

getParameterDistance, getParameterInitialization, getParameterK, getParameterMaxIter, getParameterVarstat, needsMetric

Methods inherited from class java.lang.Object

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

Field Detail

RATE_ID

public static final OptionID RATE_ID

Parameter to specify the number of neighbors to ignore.

NOISE_FLAG_ID

public static final OptionID NOISE_FLAG_ID

Flag to produce a "noise" cluster, instead of assigning them to the nearest neighbor.

rate

private double rate

Outlier rate.

noiseFlag

private boolean noiseFlag

Noise cluster flag.

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

Overrides:

configure in class AbstractKMeans.Par<V extends NumberVector>

Parameters:

config - Parameterization

make

public KMeansMinusMinus<V> 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

Specified by:

make in class AbstractKMeans.Par<V extends NumberVector>

Returns:

a new instance