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

Class CTLuGLSBackwardSearchAlgorithm.Parameterizer<V extends NumberVector<?>,D extends NumberDistance<D,?>>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer<V,D>

de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuGLSBackwardSearchAlgorithm.Parameterizer<V,D>

Type Parameters:

V - Input vector type

D - Distance type

All Implemented Interfaces:

Parameterizer

Enclosing class:

CTLuGLSBackwardSearchAlgorithm<V extends NumberVector<?>,D extends NumberDistance<D,?>>

public static class CTLuGLSBackwardSearchAlgorithm.Parameterizer<V extends NumberVector<?>,D extends NumberDistance<D,?>>
extends AbstractDistanceBasedAlgorithm.Parameterizer<V,D>

Parameterization class

Field Summary

Fields

Modifier and Type	Field and Description
private double	alpha Parameter Alpha - significance niveau
static OptionID	ALPHA_ID Holds the alpha value - significance niveau
private int	k Parameter k - neighborhood size
static OptionID	K_ID Parameter to specify the k nearest neighbors

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer

distanceFunction

Constructor Summary

Constructors

Constructor and Description
CTLuGLSBackwardSearchAlgorithm.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected void	getParameterAlpha(Parameterization config) Get the alpha parameter
protected void	getParameterK(Parameterization config) Get the k parameter
protected CTLuGLSBackwardSearchAlgorithm<V,D>	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

ALPHA_ID

public static final OptionID ALPHA_ID

Holds the alpha value - significance niveau

K_ID

public static final OptionID K_ID

Parameter to specify the k nearest neighbors

alpha

private double alpha

Parameter Alpha - significance niveau

k

private int k

Parameter k - neighborhood size

Constructor Detail

CTLuGLSBackwardSearchAlgorithm.Parameterizer

public CTLuGLSBackwardSearchAlgorithm.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 AbstractDistanceBasedAlgorithm.Parameterizer<V extends NumberVector<?>,D extends NumberDistance<D,?>>

Parameters:

config - Parameterization to add options to.

makeInstance

protected CTLuGLSBackwardSearchAlgorithm<V,D> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance

getParameterAlpha

protected void getParameterAlpha(Parameterization config)

Get the alpha parameter

Parameters:

config - Parameterization

getParameterK

protected void getParameterK(Parameterization config)

Get the k parameter

Parameters:

config - Parameterization