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

Class MOMEstimator

java.lang.Object

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

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

All Implemented Interfaces:

IntrinsicDimensionalityEstimator

@Reference(authors="Amsaleg, L., Chelly, O., Furon, T., Girard, S., Houle, M. E., & Nett, M.",
           title="Estimating Continuous Intrinsic Dimensionality",
           booktitle="NII Technical Report NII-2014-001E.",
           url="http://www.nii.ac.jp/TechReports/14-001E.pdf")
public class MOMEstimator
extends AbstractIntrinsicDimensionalityEstimator

Methods of moments estimator, using the first moment (i.e. average). This could be generalized to higher order moments, but the variance increases with the order, and we need this to work well with small sample sizes. Reference:

Amsaleg, L., Chelly, O., Furon, T., Girard, S., Houle, M. E., & Nett, M.
Estimating Continuous Intrinsic Dimensionality.
NII Technical Report NII-2014-001E.

Author:

Erich Schubert

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field and Description
static MOMEstimator	STATIC Static instance.

Constructor Summary

Constructors

Constructor and Description
MOMEstimator()

Method Summary

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 MOMEstimator STATIC

Static instance.

Constructor Detail

MOMEstimator

public MOMEstimator()

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