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ABOD<V extends elki.data.NumberVector> - Class in elki.outlier.anglebased

Angle-Based Outlier Detection / Angle-Based Outlier Factor.

ABOD(Similarity<? super V>) - Constructor for class elki.outlier.anglebased.ABOD

Constructor for Angle-Based Outlier Detection (ABOD).

ABOD.Par<V extends elki.data.NumberVector> - Class in elki.outlier.anglebased

Parameterization class.

AbstractAggarwalYuOutlier - Class in elki.outlier.subspace

Abstract base class for the sparse-grid-cell based outlier detection of Aggarwal and Yu.

AbstractAggarwalYuOutlier(int, int) - Constructor for class elki.outlier.subspace.AbstractAggarwalYuOutlier

Constructor.

AbstractAggarwalYuOutlier.Par - Class in elki.outlier.subspace

Parameterization class.

AbstractDBOutlier<O> - Class in elki.outlier.distance

Simple distance based outlier detection algorithms.

AbstractDBOutlier(Distance<? super O>, double) - Constructor for class elki.outlier.distance.AbstractDBOutlier

Constructor with actual parameters.

AbstractDBOutlier.Par<O> - Class in elki.outlier.distance

Parameterization class.

AbstractDistanceBasedSpatialOutlier<N,O> - Class in elki.outlier.spatial

Abstract base class for distance-based spatial outlier detection methods.

AbstractDistanceBasedSpatialOutlier(NeighborSetPredicate.Factory<N>, Distance<O>) - Constructor for class elki.outlier.spatial.AbstractDistanceBasedSpatialOutlier

Constructor.

AbstractNeighborhoodOutlier<O> - Class in elki.outlier.spatial

Abstract base class for spatial outlier detection methods using a spatial neighborhood.

AbstractNeighborhoodOutlier(NeighborSetPredicate.Factory<O>) - Constructor for class elki.outlier.spatial.AbstractNeighborhoodOutlier

Constructor

AbstractPrecomputedNeighborhood - Class in elki.outlier.spatial.neighborhood

Abstract base class for precomputed neighborhoods.

AbstractPrecomputedNeighborhood(DataStore<DBIDs>) - Constructor for class elki.outlier.spatial.neighborhood.AbstractPrecomputedNeighborhood

Constructor.

AbstractPrecomputedNeighborhood.Factory<O> - Class in elki.outlier.spatial.neighborhood

Factory class.

active - Variable in class elki.outlier.density.IsolationForest.ForestBuilder

Active dimensions (not constant)

actualMaximum - Variable in class elki.result.outlier.BasicOutlierScoreMeta

Store the actual maximum

actualMaximum - Variable in class elki.result.outlier.ProbabilisticOutlierScore

Actual maximum seen, if given by the algorithm.

actualMinimum - Variable in class elki.result.outlier.BasicOutlierScoreMeta

Store the actual minimum

actualMinimum - Variable in class elki.result.outlier.ProbabilisticOutlierScore

Actual minimum seen, if given by the algorithm.

add(DBIDRef) - Method in class elki.outlier.density.HySortOD.Hypercube

add(HySortOD.TreeStrategy.Node) - Method in class elki.outlier.density.HySortOD.TreeStrategy.Node

Add a child.

adjustDistances(DBIDRef, DoubleDBIDListIter, double, double, ModifiableDoubleDBIDList) - Static method in class elki.outlier.intrinsic.ISOS

adjustedEps(int) - Method in class elki.outlier.subspace.OUTRES.KernelDensityEstimator

Rescale the query radius based on the given dimensionality.

advance() - Method in class elki.evaluation.scores.adapter.OutlierScoreAdapter

Afinal - Variable in class elki.utilities.scaling.outlier.SigmoidOutlierScaling

Sigmoid parameter

AggarwalYuEvolutionary - Class in elki.outlier.subspace

Evolutionary variant (EAFOD) of the high-dimensional outlier detection algorithm by Aggarwal and Yu.

AggarwalYuEvolutionary(int, int, int, RandomFactory) - Constructor for class elki.outlier.subspace.AggarwalYuEvolutionary

Constructor.

AggarwalYuEvolutionary.EvolutionarySearch - Class in elki.outlier.subspace

The inner class to handle the actual evolutionary computation.

AggarwalYuEvolutionary.Individuum - Class in elki.outlier.subspace

Individuum for the evolutionary search.

AggarwalYuEvolutionary.Par - Class in elki.outlier.subspace

Parameterization class.

AggarwalYuNaive - Class in elki.outlier.subspace

BruteForce variant of the high-dimensional outlier detection algorithm by Aggarwal and Yu.

AggarwalYuNaive(int, int) - Constructor for class elki.outlier.subspace.AggarwalYuNaive

Constructor.

AggarwalYuNaive.Par - Class in elki.outlier.subspace

Parameterization class.

algorithm - Variable in class elki.outlier.meta.RescaleMetaOutlierAlgorithm

Holds the algorithm to run.

algorithm - Variable in class elki.outlier.meta.RescaleMetaOutlierAlgorithm.Par

Holds the algorithm to run.

algorithms - Variable in class elki.outlier.meta.SimpleOutlierEnsemble

The algorithms to run.

algorithms - Variable in class elki.outlier.meta.SimpleOutlierEnsemble.Par

The algorithms to run.

ALL - elki.outlier.distance.HilOut.ScoreType

All scores

ALOCI<V extends elki.data.NumberVector> - Class in elki.outlier.lof

Fast Outlier Detection Using the "approximate Local Correlation Integral".

ALOCI(NumberVectorDistance<? super V>, int, int, int, RandomFactory) - Constructor for class elki.outlier.lof.ALOCI

Constructor.

ALOCI.ALOCIQuadTree - Class in elki.outlier.lof

Simple quadtree for ALOCI.

ALOCI.Node - Class in elki.outlier.lof

Node of the ALOCI Quadtree

ALOCI.Par<O extends elki.data.NumberVector> - Class in elki.outlier.lof

Parameterization class.

ALOCIQuadTree(double[], double[], double[], int, Relation<? extends NumberVector>) - Constructor for class elki.outlier.lof.ALOCI.ALOCIQuadTree

Constructor.

alpha - Variable in class elki.outlier.lof.ALOCI

Alpha (level difference of sampling and counting neighborhoods)

alpha - Variable in class elki.outlier.lof.ALOCI.Par

Alpha: number of levels difference to use in comparison

alpha - Variable in class elki.outlier.lof.LOCI

Scaling of averaging neighborhood.

alpha - Variable in class elki.outlier.meta.HiCS

Alpha threshold.

alpha - Variable in class elki.outlier.spatial.CTLuGLSBackwardSearchAlgorithm

Parameter Alpha - significance niveau

alpha - Variable in class elki.outlier.spatial.CTLuRandomWalkEC

Parameter alpha: Attribute difference exponent.

alpha - Variable in class elki.outlier.subspace.SOD

Alpha (discriminance value).

alpha - Variable in class elki.outlier.subspace.SOD.Par

Alpha (discriminance value).

alpha - Variable in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling

Mixing parameter alpha

ALPHA_ID - Static variable in class elki.outlier.lof.ALOCI.Par

Parameter to specify the averaging neighborhood scaling.

ALPHA_ID - Static variable in class elki.outlier.subspace.SOD.Par

Parameter to indicate the multiplier for the discriminance value for discerning small from large variances.

append(double, int) - Method in class elki.outlier.lof.LOCI.DoubleIntArrayList

Append a key-value pair.

ascending - Variable in class elki.result.outlier.OrderingFromRelation

Factor for ascending (+1) and descending (-1) ordering.

atmean - Variable in class elki.utilities.scaling.outlier.OutlierGammaScaling

Score at the mean, for cut-off.

auc - Variable in class elki.evaluation.outlier.OutlierSmROCCurve.SmROCResult

AUC score

AUPRGC_LABEL - Static variable in class elki.evaluation.outlier.OutlierPrecisionRecallGainCurve

AUC Label for PRG Curve.

AUROC_LABEL - Static variable in class elki.evaluation.outlier.OutlierROCCurve

The label we use for marking AUROC values.

autorun(Database) - Method in class elki.outlier.meta.RescaleMetaOutlierAlgorithm

autorun(Database) - Method in class elki.outlier.meta.SimpleOutlierEnsemble

autorun(Database) - Method in interface elki.outlier.OutlierAlgorithm

autorun(Database) - Method in class elki.outlier.trivial.ByLabelOutlier

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