Package elki.math.statistics.intrinsicdimensionality

Methods for estimating the intrinsic dimensionality.

Interface Summary

Interface	Description
DistanceBasedIntrinsicDimensionalityEstimator	Distance-based ID estimator.
IntrinsicDimensionalityEstimator<O>	Estimate the intrinsic dimensionality from a distance list.

Class Summary

Class	Description
ABIDEstimator	Angle based intrinsic dimensionality (ABID) estimator.
ABIDEstimator.Par	Parameterization class.
AggregatedHillEstimator	Estimator using the weighted average of multiple hill estimators.
AggregatedHillEstimator.Par	Parameterization class.
ALIDEstimator	ALID estimator of the intrinsic dimensionality (maximum likelihood estimator for ID using auxiliary distances).
ALIDEstimator.Par	Parameterization class.
EnsembleEstimator	Ensemble estimator taking the median of three of our best estimators.
GEDEstimator	Generalized Expansion Dimension for estimating the intrinsic dimensionality.
GEDEstimator.Par	Parameterization class.
HillEstimator	Hill estimator of the intrinsic dimensionality (maximum likelihood estimator for ID).
HillEstimator.Par	Parameterization class.
LMomentsEstimator	Probability weighted moments based estimator using L-Moments.
LMomentsEstimator.Par	Parameterization class.
LPCAEstimator	Local PCA based ID estimator.
LPCAEstimator.Par	Parameterization class.
MOMEstimator	Methods of moments estimator, using the first moment (i.e. average).
MOMEstimator.Par	Parameterization class.
PWM2Estimator	Probability weighted moments based estimator, using the second moment.
PWM2Estimator.Par	Parameterization class.
PWMEstimator	Probability weighted moments based estimator.
PWMEstimator.Par	Parameterization class.
RABIDEstimator	Raw angle based intrinsic dimensionality (RABID) estimator.
RABIDEstimator.Par	Parameterization class.
RVEstimator	Regularly Varying Functions estimator of the intrinsic dimensionality
RVEstimator.Par	Parameterization class.
TightLIDEstimator	TightLID Estimator (TLE) of the intrinsic dimensionality (maximum likelihood estimator for ID using auxiliary distances).
TightLIDEstimator.Par	Parameterization class.
ZipfEstimator	Zipf estimator (qq-estimator) of the intrinsic dimensionality.
ZipfEstimator.Par	Parameterization class.