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

Interface IntrinsicDimensionalityEstimator

All Known Implementing Classes:

AbstractIntrinsicDimensionalityEstimator, AggregatedHillEstimator, EnsembleEstimator, GEDEstimator, HillEstimator, LMomentsEstimator, MOMEstimator, PWM2Estimator, PWMEstimator, RVEstimator, ZipfEstimator

public interface IntrinsicDimensionalityEstimator

Estimate the intrinsic dimensionality from a distance list.

Author:

Erich Schubert

Method Summary

Methods

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

Method Detail

estimate

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

Estimate from a distance list.

Type Parameters:

A - array type

Parameters:

data - Data

adapter - Array adapter

Returns:

Estimated intrinsic dimensionality

estimate

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

Estimate from a distance list.

Type Parameters:

A - array type

Parameters:

data - Data

adapter - Array adapter

size - Length

Returns:

Estimated intrinsic dimensionality

estimate

double estimate(double[] distances)

Estimate from a distance list.

Parameters:

distances - Distances

Returns:

Estimated intrinsic dimensionality

estimate

double estimate(double[] distances,
              int size)

Estimate from a distance list.

Parameters:

distances - Distances

size - Valid size

Returns:

Estimated intrinsic dimensionality