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

Class SOD.Parameterizer<V extends NumberVector>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.Parameterizer<V>

All Implemented Interfaces:

Parameterizer

Enclosing class:

SOD<V extends NumberVector>

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

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
private double	alpha Alpha (discriminance value).
static OptionID	ALPHA_ID Parameter to indicate the multiplier for the discriminance value for discerning small from large variances.
private int	knn Neighborhood size
static OptionID	KNN_ID Parameter to specify the number of shared nearest neighbors to be considered for learning the subspace properties., must be an integer greater than 0.
private boolean	models Track models.
static OptionID	MODELS_ID Parameter for keeping the models.
static OptionID	SIM_ID Parameter for the similarity function.
private SimilarityFunction<V>	similarityFunction The similarity function.

Constructor Summary

Constructors

Constructor and Description
SOD.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected SOD<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

KNN_ID

public static final OptionID KNN_ID

Parameter to specify the number of shared nearest neighbors to be considered for learning the subspace properties., must be an integer greater than 0.

ALPHA_ID

public static final OptionID ALPHA_ID

Parameter to indicate the multiplier for the discriminance value for discerning small from large variances.

SIM_ID

public static final OptionID SIM_ID

Parameter for the similarity function.

MODELS_ID

public static final OptionID MODELS_ID

Parameter for keeping the models.

knn

private int knn

Neighborhood size

alpha

private double alpha

Alpha (discriminance value).

similarityFunction

private SimilarityFunction<V extends NumberVector> similarityFunction

The similarity function.

models

private boolean models

Track models.

Constructor Detail

SOD.Parameterizer

public SOD.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 SOD<V> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance