Package elki.clustering.subspace

Class SUBCLU.Par<V extends NumberVector>

java.lang.Object

elki.clustering.subspace.SUBCLU.Par<V>

All Implemented Interfaces:

Parameterizer

Enclosing class:

SUBCLU<V extends NumberVector>

public static class SUBCLU.Par<V extends NumberVector>
extends java.lang.Object
implements Parameterizer

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field	Description
protected DimensionSelectingSubspaceDistance<V>	distance	The distance function to determine the distance between objects.
static OptionID	DISTANCE_FUNCTION_ID	The distance function to determine the distance between objects.
protected double	epsilon	Maximum radius of the neighborhood to be considered.
static OptionID	EPSILON_ID	Maximum radius of the neighborhood to be considered.
protected int	mindim	Minimum dimensionality.
static OptionID	MINDIM_ID	Minimum dimensionality to generate clusters.
protected int	minpts	Minimum number of points.
static OptionID	MINPTS_ID	Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.

Constructor Summary

Constructors

Constructor	Description
Par()

Method Summary

Modifier and Type	Method	Description
void	configure(Parameterization config)	Configure the class.
SUBCLU<V>	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

DISTANCE_FUNCTION_ID

public static final OptionID DISTANCE_FUNCTION_ID

The distance function to determine the distance between objects.

EPSILON_ID

public static final OptionID EPSILON_ID

Maximum radius of the neighborhood to be considered.

MINPTS_ID

public static final OptionID MINPTS_ID

Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.

MINDIM_ID

public static final OptionID MINDIM_ID

Minimum dimensionality to generate clusters.

distance

protected DimensionSelectingSubspaceDistance<V extends NumberVector> distance

The distance function to determine the distance between objects.

epsilon

protected double epsilon

Maximum radius of the neighborhood to be considered.

minpts

protected int minpts

Minimum number of points.

mindim

protected int mindim

Minimum dimensionality.

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 SUBCLU<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

Returns:

a new instance