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

Class EnsembleEstimator

java.lang.Object

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

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

All Implemented Interfaces:

IntrinsicDimensionalityEstimator

public class EnsembleEstimator
extends AbstractIntrinsicDimensionalityEstimator

Ensemble estimator taking the median of three of our best estimators. However, the method-of-moments estimator seems to work best at least on artificial distances - you don't benefit from always choosing the second best, so this ensemble approach does not appear to help. This is an experimental estimator. Please cite ELKI when using.

Author:

Erich Schubert

Field Summary

Fields

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

Constructor Summary

Constructors

Constructor and Description
EnsembleEstimator()

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 EnsembleEstimator STATIC

Static instance.

Constructor Detail

EnsembleEstimator

public EnsembleEstimator()

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