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

Class IDOS.Parameterizer<O>

java.lang.Object

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

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

de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.IDOS.Parameterizer<O>

All Implemented Interfaces:

Parameterizer

Enclosing class:

IDOS<O>

public static class IDOS.Parameterizer<O>
extends AbstractDistanceBasedAlgorithm.Parameterizer<O>

Parameterization class.

Author:

Jonathan von Brünken, Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
protected IntrinsicDimensionalityEstimator	estimator Estimator for intrinsic dimensionality.
static OptionID	ESTIMATOR_ID The class used for estimating the intrinsic dimensionality.
protected int	k_c kNN for the context set (ID computation).
protected int	k_r kNN for the reference set.
static OptionID	KC_ID Parameter to specify the number of nearest neighbors of an object to be used for the GED computation.
static OptionID	KR_ID Parameter to specify the neighborhood size to use for the averaging.

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 IDOS<O>	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

ESTIMATOR_ID

public static final OptionID ESTIMATOR_ID

The class used for estimating the intrinsic dimensionality.

KR_ID

public static final OptionID KR_ID

Parameter to specify the neighborhood size to use for the averaging.

KC_ID

public static final OptionID KC_ID

Parameter to specify the number of nearest neighbors of an object to be used for the GED computation.

estimator

protected IntrinsicDimensionalityEstimator estimator

Estimator for intrinsic dimensionality.

k_c

protected int k_c

kNN for the context set (ID computation).

k_r

protected int k_r

kNN for the reference set.

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<O>

Parameters:

config - Parameterization to add options to.

makeInstance

protected IDOS<O> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance