de.lmu.ifi.dbs.elki.application.experiments

Class EvaluateIntrinsicDimensionalityEstimators

java.lang.Object

de.lmu.ifi.dbs.elki.application.AbstractApplication

de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators

public class EvaluateIntrinsicDimensionalityEstimators
extends AbstractApplication

Class for testing the estimation quality of intrinsic dimensionality estimators.

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	EvaluateIntrinsicDimensionalityEstimators.Aggregate Aggregation methods.
static class	EvaluateIntrinsicDimensionalityEstimators.OutputFormat Output format
static class	EvaluateIntrinsicDimensionalityEstimators.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
(package private) EvaluateIntrinsicDimensionalityEstimators.Aggregate	agg Aggregation method.
(package private) int	dim Benchmark parameters.
(package private) EvaluateIntrinsicDimensionalityEstimators.OutputFormat	format Output format parameter.
(package private) int	maxk Benchmark parameters.
(package private) RandomFactory	rnd Random generator.
(package private) int	samples Benchmark parameters.
(package private) int	startk Benchmark parameters.

Fields inherited from class de.lmu.ifi.dbs.elki.application.AbstractApplication

REFERENCE, VERSION

Constructor Summary

Constructors

Constructor and Description
EvaluateIntrinsicDimensionalityEstimators(int startk, int maxk, int samples, int dim, EvaluateIntrinsicDimensionalityEstimators.Aggregate agg, EvaluateIntrinsicDimensionalityEstimators.OutputFormat format, RandomFactory rnd) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
static void	main(String[] args) Main method
protected double[]	makeSample(int maxk) Generate a data sample.
void	run() Runs the application.

Methods inherited from class de.lmu.ifi.dbs.elki.application.AbstractApplication

printErrorMessage, runCLIApplication, usage

Methods inherited from class java.lang.Object

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

Field Detail

startk

int startk

Benchmark parameters.

maxk

int maxk

Benchmark parameters.

samples

int samples

Benchmark parameters.

dim

int dim

Benchmark parameters.

agg

EvaluateIntrinsicDimensionalityEstimators.Aggregate agg

Aggregation method.

format

EvaluateIntrinsicDimensionalityEstimators.OutputFormat format

Output format parameter.

rnd

RandomFactory rnd

Random generator.

Constructor Detail

EvaluateIntrinsicDimensionalityEstimators

public EvaluateIntrinsicDimensionalityEstimators(int startk,
                                         int maxk,
                                         int samples,
                                         int dim,
                                         EvaluateIntrinsicDimensionalityEstimators.Aggregate agg,
                                         EvaluateIntrinsicDimensionalityEstimators.OutputFormat format,
                                         RandomFactory rnd)

Constructor.

Parameters:

startk - Start value of k

maxk - Maximum value of k

samples - Number of samples

dim - Number of dimensions

agg - Aggregation method

format - Output format

rnd - Random seed.

Method Detail

run

public void run()
         throws UnableToComplyException

Description copied from class: AbstractApplication

Runs the application.

Specified by:

run in class AbstractApplication

Throws:

UnableToComplyException - if an error occurs during running the application

makeSample

protected double[] makeSample(int maxk)

Generate a data sample.

Parameters:

maxk - Number of entries.

Returns:

Data sample

main

public static void main(String[] args)

Main method