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

Class GEDEstimator

java.lang.Object

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

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="http://dx.doi.org/10.1109/ICDMW.2012.94")
public class GEDEstimator
extends AbstractIntrinsicDimensionalityEstimator

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)

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
static GEDEstimator	STATIC Static instance.

Constructor Summary

Constructors

Constructor and Description
GEDEstimator()

Method Summary

Methods

Modifier and Type	Method and Description
<A> double	estimate(A data, NumberArrayAdapter<?,A> adapter, int len) Estimate from a distance list.

Methods inherited from class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.AbstractIntrinsicDimensionalityEstimator

estimate, estimate, estimate

Methods inherited from class java.lang.Object

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

Field Detail

STATIC

public static final GEDEstimator STATIC

Static instance.

Constructor Detail

GEDEstimator

public GEDEstimator()

Method Detail

estimate

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

Description copied from interface: IntrinsicDimensionalityEstimator

Estimate from a distance list.

Type Parameters:

A - array type

Parameters:

data - Data

adapter - Array adapter

len - Length

Returns:

Estimated intrinsic dimensionality