de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality

Class GEDEstimator

java.lang.Object

de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.GEDEstimator

All Implemented Interfaces:

IntrinsicDimensionalityEstimator

@Reference(authors="M. E. Houle, H. Kashima, M. Nett",
           title="Generalized expansion dimension",
           booktitle="12th International Conference on Data Mining Workshops (ICDMW)",
           url="https://doi.org/10.1109/ICDMW.2012.94",
           bibkey="DBLP:conf/icdm/HouleKN12")
public class GEDEstimator
extends java.lang.Object
implements IntrinsicDimensionalityEstimator

Generalized Expansion Dimension for estimating the intrinsic dimensionality.

Reference:

M. E. Houle, H. Kashima, M. Nett
Generalized expansion dimension
In: 12th International Conference on Data Mining Workshops (ICDMW)

Since:

0.7.0

Author:

Jonathan von Brünken, Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	GEDEstimator.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
(package private) double[]	ilogs Cached logs of integers.
static GEDEstimator	STATIC Static instance.

Constructor Summary

Constructors

Constructor and Description
GEDEstimator()

Method Summary

Modifier and Type	Method and Description
<A> double	estimate(A data, NumberArrayAdapter<?,? super A> adapter, int end) Estimate from a distance list.
private void	precomputeLogs(int len) Grow the log[i] cache.

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.math.statistics.intrinsicdimensionality.IntrinsicDimensionalityEstimator

countLeadingZeros, estimate, estimate, estimate, estimate, estimate

Field Detail

STATIC

public static final GEDEstimator STATIC

Static instance.

ilogs

double[] ilogs

Cached logs of integers.

Constructor Detail

GEDEstimator

public GEDEstimator()

Method Detail

estimate

public <A> double estimate(A data,
                           NumberArrayAdapter<?,? super A> adapter,
                           int end)

Description copied from interface: IntrinsicDimensionalityEstimator

Estimate from a distance list.

Specified by:

estimate in interface IntrinsicDimensionalityEstimator

Type Parameters:

A - array type

Parameters:

data - Data

adapter - Array adapter

end - Length

Returns:

Estimated intrinsic dimensionality

precomputeLogs

private void precomputeLogs(int len)

Grow the log[i] cache.

Parameters:

len - Required size