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

Class CTLuRandomWalkEC.Parameterizer<N>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer<N>

de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer<N>

Type Parameters:

N - Vector type

All Implemented Interfaces:

Parameterizer

Enclosing class:

CTLuRandomWalkEC<P>

public static class CTLuRandomWalkEC.Parameterizer<N>
extends AbstractDistanceBasedAlgorithm.Parameterizer<N>

Parameterization class.

Author:

Ahmed Hettab

Field Summary

Fields

Modifier and Type	Field and Description
(package private) double	alpha Parameter alpha: scaling.
static OptionID	ALPHA_ID Parameter to specify alpha.
(package private) double	c Parameter c: damping coefficient.
static OptionID	C_ID Parameter to specify the c.
(package private) int	k Parameter for kNN.
static OptionID	K_ID Parameter to specify the number of neighbors.

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

distanceFunction

Constructor Summary

Constructors

Constructor and Description
Parameterizer()

Method Summary

Modifier and Type	Method and Description
protected void	configAlpha(Parameterization config) Get the alpha parameter.
protected void	configC(Parameterization config) get the c parameter.
protected void	configK(Parameterization config) Get the kNN parameter.
protected CTLuRandomWalkEC<N>	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

K_ID

public static final OptionID K_ID

Parameter to specify the number of neighbors.

ALPHA_ID

public static final OptionID ALPHA_ID

Parameter to specify alpha.

C_ID

public static final OptionID C_ID

Parameter to specify the c.

alpha

double alpha

Parameter alpha: scaling.

c

double c

Parameter c: damping coefficient.

k

int k

Parameter for kNN.

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 AbstractDistanceBasedAlgorithm.Parameterizer<N>

Parameters:

config - Parameterization to add options to.

configK

protected void configK(Parameterization config)

Get the kNN parameter.

Parameters:

config - Parameterization

configAlpha

protected void configAlpha(Parameterization config)

Get the alpha parameter.

Parameters:

config - Parameterization

configC

protected void configC(Parameterization config)

get the c parameter.

Parameters:

config - Parameterization

makeInstance

protected CTLuRandomWalkEC<N> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance