de.lmu.ifi.dbs.elki.algorithm.statistics

Class EstimateIntrinsicDimensionality.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.statistics.EstimateIntrinsicDimensionality.Parameterizer<O>

Type Parameters:

O - Object type

All Implemented Interfaces:

Parameterizer

Enclosing class:

EstimateIntrinsicDimensionality<O>

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

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
private IntrinsicDimensionalityEstimator	estimator Estimation method.
private static OptionID	ESTIMATOR_ID Estimation method
private double	krate Number of neighbors to use.
private static OptionID	KRATE_ID Number of kNN to use for each object.
private double	samples Number of samples to draw.
private static OptionID	SAMPLES_ID Number of samples to draw from the data set.

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 EstimateIntrinsicDimensionality<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

private static final OptionID ESTIMATOR_ID

Estimation method

KRATE_ID

private static final OptionID KRATE_ID

Number of kNN to use for each object.

SAMPLES_ID

private static final OptionID SAMPLES_ID

Number of samples to draw from the data set.

estimator

private IntrinsicDimensionalityEstimator estimator

Estimation method.

krate

private double krate

Number of neighbors to use.

samples

private double samples

Number of samples to draw.

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 EstimateIntrinsicDimensionality<O> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance