de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Class HiSC.Parameterizer<V extends NumberVector>

java.lang.Object

de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Parameterizer<V>

All Implemented Interfaces:

Parameterizer

Enclosing class:

HiSC<V extends NumberVector>

public static class HiSC.Parameterizer<V extends NumberVector>
extends AbstractParameterizer

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
static OptionID	ALPHA_ID The maximum absolute variance along a coordinate axis.
static double	DEFAULT_ALPHA The default value for alpha.
static OptionID	EPSILON_ID Parameter to specify the maximum distance between two vectors with equal preference vectors before considering them as parallel, must be a double equal to or greater than 0.
private HiSCPreferenceVectorIndex.Factory<V>	indexfactory Factory to produce the index.
static OptionID	K_ID The number of nearest neighbors considered to determine the preference vector.

Constructor Summary

Constructors

Constructor and Description
Parameterizer()

Method Summary

Modifier and Type	Method and Description
protected HiSC<V>	makeInstance() Make an instance after successful configuration.
protected void	makeOptions(Parameterization config) Add all options.

Methods inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

configure, make

Methods inherited from class java.lang.Object

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

Field Detail

EPSILON_ID

public static final OptionID EPSILON_ID

Parameter to specify the maximum distance between two vectors with equal preference vectors before considering them as parallel, must be a double equal to or greater than 0.

indexfactory

private HiSCPreferenceVectorIndex.Factory<V extends NumberVector> indexfactory

Factory to produce the index.

ALPHA_ID

public static final OptionID ALPHA_ID

The maximum absolute variance along a coordinate axis. Must be in the range of [0.0, 1.0).

DEFAULT_ALPHA

public static final double DEFAULT_ALPHA

The default value for alpha.

See Also:

Constant Field Values

K_ID

public static final OptionID K_ID

The number of nearest neighbors considered to determine the preference vector. If this value is not defined, k is set to three times of the dimensionality of the database objects.

Constructor Detail

Parameterizer

public Parameterizer()

Method Detail

makeOptions

protected void makeOptions(Parameterization config)

Description copied from class: AbstractParameterizer

Add all options. ALWAYS call super.makeOptions(config), unless you have a strong reason to do otherwise!

Overrides:

makeOptions in class AbstractParameterizer

Parameters:

config - Parameterization to add options to.

makeInstance

protected HiSC<V> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance