de.lmu.ifi.dbs.elki.algorithm.outlier.spatial
Class CTLuRandomWalkEC.Parameterizer<N,D extends NumberDistance<D,?>>

java.lang.Object
  de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer
      de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer<N,D>
          de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer<N,D>

Type Parameters:

N - Vector type

D - Distance type

All Implemented Interfaces:

Parameterizer

Enclosing class:

CTLuRandomWalkEC<N,D extends NumberDistance<D,?>>

public static class CTLuRandomWalkEC.Parameterizer<N,D extends NumberDistance<D,?>>
extends AbstractDistanceBasedAlgorithm.Parameterizer<N,D>

Parameterization class.

Field Summary

(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

CTLuRandomWalkEC.Parameterizer()

Method Summary

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,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

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

CTLuRandomWalkEC.Parameterizer

public CTLuRandomWalkEC.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,D extends NumberDistance<D,?>>

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 -

makeInstance

protected CTLuRandomWalkEC<N,D> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance