Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic |
Outlier detection algorithms based on intrinsic dimensionality.
|
de.lmu.ifi.dbs.elki.algorithm.statistics |
Statistical analysis algorithms.
|
de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality |
Methods for estimating the intrinsic dimensionality.
|
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.
|
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.
|
Modifier and Type | Field and Description |
---|---|
protected IntrinsicDimensionalityEstimator |
EstimateIntrinsicDimensionality.estimator
Estimation method.
|
protected IntrinsicDimensionalityEstimator |
EstimateIntrinsicDimensionality.Parameterizer.estimator
Estimation method.
|
Constructor and Description |
---|
EstimateIntrinsicDimensionality(DistanceFunction<? super O> distanceFunction,
IntrinsicDimensionalityEstimator estimator,
double krate,
double samples)
Constructor.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractIntrinsicDimensionalityEstimator
Abstract base class for ID estimators.
|
class |
AggregatedHillEstimator
Estimator using the weighted average of multiple hill estimators.
|
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.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.