Uses of Interface
de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.IntrinsicDimensionalityEstimator

Packages that use IntrinsicDimensionalityEstimator

Package	Description
de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic	Outlier detection algorithms based on intrinsic dimensionality.
de.lmu.ifi.dbs.elki.algorithm.projection	Data projections (see also preprocessing filters for basic projections).
de.lmu.ifi.dbs.elki.algorithm.statistics	Statistical analysis algorithms.
de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality	Methods for estimating the intrinsic dimensionality.

Uses of IntrinsicDimensionalityEstimator in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic declared as IntrinsicDimensionalityEstimator

Modifier and Type	Field and Description
protected IntrinsicDimensionalityEstimator	IntrinsicDimensionalityOutlier.estimator Estimator for intrinsic dimensionality.
protected IntrinsicDimensionalityEstimator	IntrinsicDimensionalityOutlier.Parameterizer.estimator Estimator for intrinsic dimensionality.
protected IntrinsicDimensionalityEstimator	IDOS.estimator Estimator for intrinsic dimensionality.
protected IntrinsicDimensionalityEstimator	IDOS.Parameterizer.estimator Estimator for intrinsic dimensionality.
(package private) IntrinsicDimensionalityEstimator	ISOS.estimator Estimator of intrinsic dimensionality.
(package private) IntrinsicDimensionalityEstimator	ISOS.Parameterizer.estimator Estimator of intrinsic dimensionality.

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic with parameters of type IntrinsicDimensionalityEstimator

Constructor and Description
IDOS(DistanceFunction<? super O> distanceFunction, IntrinsicDimensionalityEstimator estimator, int kc, int kr) Constructor.
IntrinsicDimensionalityOutlier(DistanceFunction<? super O> distanceFunction, int k, IntrinsicDimensionalityEstimator estimator) Constructor.
ISOS(DistanceFunction<? super O> distance, int k, IntrinsicDimensionalityEstimator estimator) Constructor.

Uses of IntrinsicDimensionalityEstimator in de.lmu.ifi.dbs.elki.algorithm.projection

Fields in de.lmu.ifi.dbs.elki.algorithm.projection declared as IntrinsicDimensionalityEstimator

Modifier and Type	Field and Description
(package private) IntrinsicDimensionalityEstimator	IntrinsicNearestNeighborAffinityMatrixBuilder.estimator Estimator of intrinsic dimensionality.
(package private) IntrinsicDimensionalityEstimator	IntrinsicNearestNeighborAffinityMatrixBuilder.Parameterizer.estimator Estimator of intrinsic dimensionality.

Constructors in de.lmu.ifi.dbs.elki.algorithm.projection with parameters of type IntrinsicDimensionalityEstimator

Constructor and Description
IntrinsicNearestNeighborAffinityMatrixBuilder(DistanceFunction<? super O> distanceFunction, double perplexity, IntrinsicDimensionalityEstimator estimator) Constructor.

Uses of IntrinsicDimensionalityEstimator in de.lmu.ifi.dbs.elki.algorithm.statistics

Fields in de.lmu.ifi.dbs.elki.algorithm.statistics declared as IntrinsicDimensionalityEstimator

Modifier and Type	Field and Description
protected IntrinsicDimensionalityEstimator	EstimateIntrinsicDimensionality.estimator Estimation method.
protected IntrinsicDimensionalityEstimator	EstimateIntrinsicDimensionality.Parameterizer.estimator Estimation method.

Constructors in de.lmu.ifi.dbs.elki.algorithm.statistics with parameters of type IntrinsicDimensionalityEstimator

Constructor and Description
EstimateIntrinsicDimensionality(DistanceFunction<? super O> distanceFunction, IntrinsicDimensionalityEstimator estimator, double krate, double samples) Constructor.

Uses of IntrinsicDimensionalityEstimator in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality

Classes in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality that implement IntrinsicDimensionalityEstimator

Modifier and Type	Class and Description
class	AggregatedHillEstimator Estimator using the weighted average of multiple hill estimators.
class	ALIDEstimator ALID estimator of the intrinsic dimensionality (maximum likelihood estimator for ID using auxiliary distances).
class	EnsembleEstimator Ensemble estimator taking the median of three of our best estimators.
class	GEDEstimator Generalized Expansion Dimension for estimating the intrinsic dimensionality.
class	HillEstimator Hill estimator of the intrinsic dimensionality (maximum likelihood estimator for ID).
class	LMomentsEstimator Probability weighted moments based estimator using L-Moments.
class	MOMEstimator Methods of moments estimator, using the first moment (i.e. average).
class	PWM2Estimator Probability weighted moments based estimator, using the second moment.
class	PWMEstimator Probability weighted moments based estimator.
class	RVEstimator Regularly Varying Functions estimator of the intrinsic dimensionality Reference: L.
class	ZipfEstimator Zipf estimator (qq-estimator) of the intrinsic dimensionality.