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

Methods for estimating the intrinsic dimensionality.

See: Description

Interface Summary

Interface	Description
IntrinsicDimensionalityEstimator	Estimate the intrinsic dimensionality from a distance list.

Class Summary

Class	Description
AbstractIntrinsicDimensionalityEstimator	Abstract base class for ID estimators.
AggregatedHillEstimator	Estimator using the weighted average of multiple hill estimators.
AggregatedHillEstimator.Parameterizer	Parameterization class.
EnsembleEstimator	Ensemble estimator taking the median of three of our best estimators.
GEDEstimator	Generalized Expansion Dimension for estimating the intrinsic dimensionality.
GEDEstimator.Parameterizer	Parameterization class.
HillEstimator	Hill estimator of the intrinsic dimensionality (maximum likelihood estimator for ID).
HillEstimator.Parameterizer	Parameterization class.
LMomentsEstimator	Probability weighted moments based estimator using L-Moments.
LMomentsEstimator.Parameterizer	Parameterization class.
LMomentsEstimator.ReverseAdapter<A>	Adapter to process an array in reverse order.
MOMEstimator	Methods of moments estimator, using the first moment (i.e. average).
MOMEstimator.Parameterizer	Parameterization class.
PWM2Estimator	Probability weighted moments based estimator, using the second moment.
PWM2Estimator.Parameterizer	Parameterization class.
PWMEstimator	Probability weighted moments based estimator.
PWMEstimator.Parameterizer	Parameterization class.
RVEstimator	Regularly Varying Functions estimator of the intrinsic dimensionality Reference: L.
RVEstimator.Parameterizer	Parameterization class.
ZipfEstimator	Zipf estimator (qq-estimator) of the intrinsic dimensionality.
ZipfEstimator.Parameterizer	Parameterization class.

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

Methods for estimating the intrinsic dimensionality.

Author:

Erich Schubert