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

Class RVEstimator

java.lang.Object

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

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

All Implemented Interfaces:

IntrinsicDimensionalityEstimator

@Reference(authors="L. Amsaleg and O. Chelly and T. Furon and S. Girard and M. E. Houle and K. Kawarabayashi and M. Nett",
           title="Estimating Local Intrinsic Dimensionality",
           booktitle="Proc. SIGKDD International Conference on Knowledge Discovery and Data Mining 2015",
           url="http://dx.doi.org/10.1145/2783258.2783405")
public class RVEstimator
extends AbstractIntrinsicDimensionalityEstimator

Regularly Varying Functions estimator of the intrinsic dimensionality Reference:

L. Amsaleg and O. Chelly and T. Furon and S. Girard and M. E. Houle and K. Kawarabayashi and M. Nett
Estimating Local Intrinsic Dimensionality
Proc. SIGKDD International Conference on Knowledge Discovery and Data Mining 2015

Author:

Oussama Chelly

Nested Class Summary

Nested Classes

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

Field Summary

Fields

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

Constructor Summary

Constructors

Constructor and Description
RVEstimator()

Method Summary

Methods

Modifier and Type	Method and Description
<A> double	estimate(A data, NumberArrayAdapter<?,A> adapter, int k) 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 RVEstimator STATIC

Static instance.

Constructor Detail

RVEstimator

public RVEstimator()

Method Detail

estimate

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

Description copied from interface: IntrinsicDimensionalityEstimator

Estimate from a distance list.

Type Parameters:

A - array type

Parameters:

data - Data

adapter - Array adapter

k - Length

Returns:

Estimated intrinsic dimensionality