Package elki.clustering.kmeans

Class YinYangKMeans.Par<V extends NumberVector>

java.lang.Object

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

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

All Implemented Interfaces:

Parameterizer

Enclosing class:

YinYangKMeans<V extends NumberVector>

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

Parameterization class.

Author:

Minh Nhat Nguyen

Field Summary

Fields

Modifier and Type	Field	Description
protected int	t	Number of groups in the initial clustering of the centroids.
static OptionID	T_ID	Parameter to specify t the number of centroid groups.

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.
YinYangKMeans<V>	make()	Make an instance after successful configuration.
protected boolean	needsMetric()	Users could use other non-metric distances at their own risk; but some k-means variants make explicit use of the triangle inequality, we emit extra warnings then.

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

getParameterDistance, getParameterInitialization, getParameterK, getParameterMaxIter, getParameterVarstat

Methods inherited from class java.lang.Object

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

Field Detail

T_ID

public static final OptionID T_ID

Parameter to specify t the number of centroid groups.

t

protected int t

Number of groups in the initial clustering of the centroids.

Constructor Detail

Par

public Par()

Method Detail

needsMetric

protected boolean needsMetric()

Description copied from class: AbstractKMeans.Par

Users could use other non-metric distances at their own risk; but some k-means variants make explicit use of the triangle inequality, we emit extra warnings then.

Overrides:

needsMetric in class AbstractKMeans.Par<V extends NumberVector>

Returns:

true if the algorithm uses triangle inequality

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 YinYangKMeans<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