Package elki.algorithm.statistics

Class HopkinsStatisticClusteringTendency.Par

java.lang.Object

elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Par

All Implemented Interfaces:

Parameterizer

Enclosing class:

HopkinsStatisticClusteringTendency

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

Parameterization class.

Author:

Lisa Reichert

Field Summary

Fields

Modifier and Type	Field	Description
protected NumberVectorDistance<? super NumberVector>	distance	The distance function to use.
protected int	k	Nearest neighbor number.
static OptionID	K_ID	Parameter for k.
protected double[]	maxima	Stores the maximum in each dimension.
static OptionID	MAXIMA_ID	Parameter for maximum.
protected double[]	minima	Stores the minimum in each dimension.
static OptionID	MINIMA_ID	Parameter for minimum.
protected RandomFactory	random	Random source.
protected int	rep	Number of repetitions.
static OptionID	REP_ID	Parameter to specify the number of repetitions of computing the hopkins value.
protected int	sampleSize	Sample size.
static OptionID	SAMPLESIZE_ID	Sample size.
static OptionID	SEED_ID	Parameter to specify the random generator seed.

Constructor Summary

Constructors

Constructor	Description
Par()

Method Summary

Modifier and Type	Method	Description
void	configure(Parameterization config)	Configure the class.
HopkinsStatisticClusteringTendency	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

SAMPLESIZE_ID

public static final OptionID SAMPLESIZE_ID

Sample size.

REP_ID

public static final OptionID REP_ID

Parameter to specify the number of repetitions of computing the hopkins value.

SEED_ID

public static final OptionID SEED_ID

Parameter to specify the random generator seed.

MINIMA_ID

public static final OptionID MINIMA_ID

Parameter for minimum.

MAXIMA_ID

public static final OptionID MAXIMA_ID

Parameter for maximum.

K_ID

public static final OptionID K_ID

Parameter for k.

distance

protected NumberVectorDistance<? super NumberVector> distance

The distance function to use.

sampleSize

protected int sampleSize

Sample size.

rep

protected int rep

Number of repetitions.

k

protected int k

Nearest neighbor number.

random

protected RandomFactory random

Random source.

maxima

protected double[] maxima

Stores the maximum in each dimension.

minima

protected double[] minima

Stores the minimum in each dimension.

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 HopkinsStatisticClusteringTendency 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