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

Class EstimateIntrinsicDimensionality<O>

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<R>

de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm<O,Result>

de.lmu.ifi.dbs.elki.algorithm.statistics.EstimateIntrinsicDimensionality<O>

Type Parameters:

O - Data type

All Implemented Interfaces:

Algorithm, DistanceBasedAlgorithm<O>

public class EstimateIntrinsicDimensionality<O>
extends AbstractDistanceBasedAlgorithm<O,Result>

Estimate global average intrinsic dimensionality of a data set. Note: this algorithm does not produce a result, but only logs statistics.

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	EstimateIntrinsicDimensionality.Parameterizer<O> Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
protected IntrinsicDimensionalityEstimator	estimator Estimation method.
protected double	krate Number of neighbors to use.
private static Logging	LOG Class logger.
protected double	samples Number of samples to draw.

Fields inherited from interface de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm

DISTANCE_FUNCTION_ID

Constructor Summary

Constructors

Constructor and Description
EstimateIntrinsicDimensionality(DistanceFunction<? super O> distanceFunction, IntrinsicDimensionalityEstimator estimator, double krate, double samples) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
TypeInformation[]	getInputTypeRestriction() Get the input type restriction used for negotiating the data query.
protected Logging	getLogger() Get the (STATIC) logger for this class.
Result	run(Database database, Relation<O> relation)

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm

getDistanceFunction

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

makeParameterDistanceFunction, run

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface de.lmu.ifi.dbs.elki.algorithm.Algorithm

run

Field Detail

LOG

private static final Logging LOG

Class logger.

krate

protected double krate

Number of neighbors to use.

samples

protected double samples

Number of samples to draw.

estimator

protected IntrinsicDimensionalityEstimator estimator

Estimation method.

Constructor Detail

EstimateIntrinsicDimensionality

public EstimateIntrinsicDimensionality(DistanceFunction<? super O> distanceFunction,
                               IntrinsicDimensionalityEstimator estimator,
                               double krate,
                               double samples)

Constructor.

Parameters:

distanceFunction - Distance function

estimator - Estimator

krate - kNN rate

samples - Sample size

Method Detail

run

public Result run(Database database,
         Relation<O> relation)

getInputTypeRestriction

public TypeInformation[] getInputTypeRestriction()

Description copied from class: AbstractAlgorithm

Get the input type restriction used for negotiating the data query.

Specified by:

getInputTypeRestriction in interface Algorithm

Specified by:

getInputTypeRestriction in class AbstractAlgorithm<Result>

Returns:

Type restriction

getLogger

protected Logging getLogger()

Description copied from class: AbstractAlgorithm

Get the (STATIC) logger for this class.

Specified by:

getLogger in class AbstractAlgorithm<Result>

Returns:

the static logger