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

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

CTLuGLSBackwardSearchAlgorithm.Parameterizer()

Method Summary

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