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C

c - Variable in class elki.outlier.GaussianUniformMixture

Holds the cutoff value.

c - Variable in class elki.outlier.GaussianUniformMixture.Par

Cutoff parameter

c - Variable in class elki.outlier.lof.LDF

Scaling constant, to limit value range to 1/c

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

Parameter c: damping factor.

c(double) - Static method in class elki.outlier.density.IsolationForest

Returns the average path length of an unsuccessful search.

C_ID - Static variable in class elki.outlier.GaussianUniformMixture.Par

Parameter to specify the cutoff.

calcP_i(double, double, double) - Static method in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling

Compute p_i (Gaussian distribution, outliers)

calcPosterior(double, double, double, double, double) - Static method in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling

Compute the a posterior probability for the given parameters.

calcQ_i(double, double) - Static method in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling

Compute q_i (Exponential distribution, inliers)

calculate_MDEF_norm(ALOCI.Node, ALOCI.Node) - Static method in class elki.outlier.lof.ALOCI

Method for the MDEF calculation

calculateContrast(Relation<? extends NumberVector>, HiCS.HiCSSubspace, ArrayList<ArrayDBIDs>, Random) - Method in class elki.outlier.meta.HiCS

Calculates the actual contrast of a given subspace.

calculateSubspaces(Relation<? extends NumberVector>, ArrayList<ArrayDBIDs>, Random) - Method in class elki.outlier.meta.HiCS

Identifies high contrast subspaces in a given full-dimensional database.

capital_n - Variable in class elki.outlier.distance.HilOut

Set sizes, total and current iteration

capital_n_star - Variable in class elki.outlier.distance.HilOut

Set sizes, total and current iteration

center - Variable in class elki.outlier.lof.ALOCI.Node

Center vector

center - Variable in class elki.outlier.subspace.SOD.SODModel

Center vector

checkConvergence(Collection<AggarwalYuEvolutionary.Individuum>) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

Check the termination criterion.

children - Variable in class elki.outlier.density.HySortOD.TreeStrategy.Node

Childs of the node.

children - Variable in class elki.outlier.lof.ALOCI.Node

Child nodes, may be null

CHISQUARED - elki.outlier.COP.DistanceDist

Use chi^2 for score normalization.

clusterData(DBIDs, RangeSearcher<DBIDRef>, WritableDoubleDataStore, WritableDataStore<ModifiableDBIDs>) - Method in class elki.outlier.DWOF

This method applies a density based clustering algorithm.

code - Variable in class elki.outlier.lof.ALOCI.Node

Position code

COF<O> - Class in elki.outlier.lof

Connectivity-based Outlier Factor (COF).

COF(Distance<? super O>, int) - Constructor for class elki.outlier.lof.COF

Constructor.

combineRecursive(IntArrayList, int, short[], AggarwalYuEvolutionary.Individuum, AggarwalYuEvolutionary.Individuum) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

Recursive method to build all possible gene combinations using positions in r.

COMMENT - Static variable in class elki.outlier.meta.ExternalDoubleOutlierScore

The comment character.

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

compareTo(HilOut.HilFeature) - Method in class elki.outlier.distance.HilOut.HilFeature

compareTo(AggarwalYuEvolutionary.Individuum) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.Individuum

comparisonDistance - Variable in class elki.outlier.lof.LoOP

Distance function for comparison set.

computeABOF(KernelMatrix, DBIDRef, DBIDArrayIter, DBIDArrayIter, MeanVariance) - Method in class elki.outlier.anglebased.ABOD

Compute the exact ABOF value.

computeAverageChainingDistances(KNNSearcher<DBIDRef>, DistanceQuery<O>, DBIDs, WritableDoubleDataStore) - Method in class elki.outlier.lof.COF

Computes the average chaining distance, the average length of a path through the given set of points to each target.

computeCentroid(double[], Relation<? extends NumberVector>, DBIDs) - Static method in class elki.outlier.COP

Recompute the centroid of a set.

computeCOFScores(KNNSearcher<DBIDRef>, DBIDs, DoubleDataStore, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.lof.COF

Compute Connectivity outlier factors.

computeDensity(DoubleDBIDList, DoubleDBIDListIter, int) - Method in class elki.outlier.distance.ReferenceBasedOutlierDetection

Computes the density of an object.

computeDistanceVector(NumberVector, Relation<? extends NumberVector>, PrimitiveDistanceQuery<? super NumberVector>) - Method in class elki.outlier.distance.ReferenceBasedOutlierDetection

Computes for each object the distance to one reference point.

computeH(DBIDRef, DoubleDBIDListIter, double[], double) - Static method in class elki.outlier.distance.SOS

Compute H (observed perplexity) for row i, and the row pij_i.

computeIDOS(DBIDs, KNNSearcher<DBIDRef>, DoubleDataStore, DoubleMinMax) - Method in class elki.outlier.intrinsic.IDOS

Computes all IDOS scores.

computeIDs(DBIDs, KNNSearcher<DBIDRef>, DistanceQuery<O>) - Method in class elki.outlier.intrinsic.IDOS

Computes all IDs

computeINFLO(Relation<O>, ModifiableDBIDs, KNNSearcher<DBIDRef>, WritableDataStore<ModifiableDBIDs>, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.lof.INFLO

Compute the final INFLO scores.

computeLOFs(KNNSearcher<DBIDRef>, DBIDs, DoubleDataStore, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.lof.FlexibleLOF

Computes the Local outlier factor (LOF) of the specified objects.

computeLOFScore(KNNSearcher<DBIDRef>, DBIDRef, DoubleDataStore) - Method in class elki.outlier.lof.LOF

Compute a single LOF score.

computeLOFScores(KNNSearcher<DBIDRef>, DBIDs, DoubleDataStore, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.lof.LOF

Compute local outlier factors.

computeLRD(KNNSearcher<DBIDRef>, DBIDIter) - Method in class elki.outlier.lof.LOF

Compute a single local reachability distance.

computeLRDs(KNNSearcher<DBIDRef>, DBIDs, WritableDoubleDataStore) - Method in class elki.outlier.lof.FlexibleLOF

Computes the local reachability density (LRD) of the specified objects.

computeLRDs(KNNSearcher<DBIDRef>, DBIDs, WritableDoubleDataStore) - Method in class elki.outlier.lof.LOF

Compute local reachability distances.

computeNeighborhoods(Relation<O>, DataStore<SetDBIDs>, ModifiableDBIDs, WritableDataStore<ModifiableDBIDs>) - Method in class elki.outlier.lof.INFLO

Compute the reverse kNN minus the kNN.

ComputeOutlierHistogram - Class in elki.evaluation.outlier

Compute a Histogram to evaluate a ranking algorithm.

ComputeOutlierHistogram(Pattern, int, ScalingFunction, boolean) - Constructor for class elki.evaluation.outlier.ComputeOutlierHistogram

Constructor.

ComputeOutlierHistogram.Par - Class in elki.evaluation.outlier

Parameterization class.

computeOutlierScores(KNNSearcher<DBIDRef>, DBIDs, WritableDataStore<double[]>, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.lof.KDEOS

Compute the final KDEOS scores.

computeOutlierScores(Relation<O>, double) - Method in class elki.outlier.distance.AbstractDBOutlier

computes an outlier score for each object of the database.

computeOutlierScores(Relation<O>, double) - Method in class elki.outlier.distance.DBOutlierDetection

computeOutlierScores(Relation<O>, double) - Method in class elki.outlier.distance.DBOutlierScore

computePDists(Relation<O>, KNNSearcher<DBIDRef>, WritableDoubleDataStore) - Method in class elki.outlier.lof.LoOP

Compute the probabilistic distances used by LoOP.

computePerDimensionVariances(Relation<? extends NumberVector>, double[], DBIDs) - Static method in class elki.outlier.subspace.SOD

Compute the per-dimension variances for the given neighborhood and center.

computePi(DBIDRef, DoubleDBIDListIter, double[], double, double) - Static method in class elki.outlier.distance.SOS

Compute row p[i], using binary search on the kernel bandwidth sigma to obtain the desired perplexity.

computePLOFs(Relation<O>, KNNSearcher<DBIDRef>, WritableDoubleDataStore, WritableDoubleDataStore) - Method in class elki.outlier.lof.LoOP

Compute the LOF values, using the pdist distances.

computePrecisionResult(int, SetDBIDs, DBIDs) - Method in class elki.evaluation.outlier.OutlierPrecisionAtKCurve

computeScore(DBIDs, DBIDs, OutlierResult) - Method in class elki.evaluation.outlier.JudgeOutlierScores

Evaluate a single outlier score result.

computeSimplifiedLOFs(DBIDs, KNNSearcher<DBIDRef>, WritableDoubleDataStore, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.lof.SimplifiedLOF

Compute the simplified LOF factors.

computeSimplifiedLRDs(DBIDs, KNNSearcher<DBIDRef>, WritableDoubleDataStore) - Method in class elki.outlier.lof.SimplifiedLOF

Compute the simplified reachability densities.

computeSmROCResult(SetDBIDs, OutlierResult) - Method in class elki.evaluation.outlier.OutlierSmROCCurve

computeSubspace(int[], ArrayList<ArrayList<DBIDs>>) - Method in class elki.outlier.subspace.AbstractAggarwalYuOutlier

Method to get the ids in the given subspace.

computeSubspaceForGene(short[], ArrayList<ArrayList<DBIDs>>) - Method in class elki.outlier.subspace.AbstractAggarwalYuOutlier

Get the DBIDs in the current subspace.

computeVolumes(KNNSearcher<DBIDRef>, int, DBIDs, WritableDoubleDataStore) - Method in class elki.outlier.lof.VarianceOfVolume

Compute volumes

computeVOVs(KNNSearcher<DBIDRef>, DBIDs, DoubleDataStore, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.lof.VarianceOfVolume

Compute variance of volumes.

computeWeight(int) - Method in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood

Compute the weight from the number of steps needed.

configure(Parameterization) - Method in class elki.evaluation.outlier.ComputeOutlierHistogram.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.JudgeOutlierScores.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.OutlierPrecisionAtKCurve.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.OutlierPrecisionRecallCurve.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.OutlierPrecisionRecallGainCurve.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.OutlierRankingEvaluation.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.OutlierROCCurve.Par

configure(Parameterization) - Method in class elki.evaluation.outlier.OutlierSmROCCurve.Par

configure(Parameterization) - Method in class elki.outlier.anglebased.ABOD.Par

configure(Parameterization) - Method in class elki.outlier.anglebased.FastABOD.Par

configure(Parameterization) - Method in class elki.outlier.anglebased.LBABOD.Par

configure(Parameterization) - Method in class elki.outlier.COP.Par

configure(Parameterization) - Method in class elki.outlier.density.IsolationForest.Par

configure(Parameterization) - Method in class elki.outlier.distance.AbstractDBOutlier.Par

configure(Parameterization) - Method in class elki.outlier.distance.DBOutlierDetection.Par

configure(Parameterization) - Method in class elki.outlier.distance.KNNDD.Par

configure(Parameterization) - Method in class elki.outlier.distance.KNNOutlier.Par

configure(Parameterization) - Method in class elki.outlier.distance.KNNWeightOutlier.Par

configure(Parameterization) - Method in class elki.outlier.distance.LocalIsolationCoefficient.Par

configure(Parameterization) - Method in class elki.outlier.distance.ReferenceBasedOutlierDetection.Par

configure(Parameterization) - Method in class elki.outlier.GaussianModel.Par

configure(Parameterization) - Method in class elki.outlier.GaussianUniformMixture.Par

configure(Parameterization) - Method in class elki.outlier.intrinsic.IDOS.Par

configure(Parameterization) - Method in class elki.outlier.intrinsic.LID.Par

configure(Parameterization) - Method in class elki.outlier.lof.ALOCI.Par

configure(Parameterization) - Method in class elki.outlier.lof.FlexibleLOF.Par

configure(Parameterization) - Method in class elki.outlier.lof.INFLO.Par

configure(Parameterization) - Method in class elki.outlier.lof.LDOF.Par

configure(Parameterization) - Method in class elki.outlier.meta.ExternalDoubleOutlierScore.Par

configure(Parameterization) - Method in class elki.outlier.meta.FeatureBagging.Par

configure(Parameterization) - Method in class elki.outlier.meta.RescaleMetaOutlierAlgorithm.Par

configure(Parameterization) - Method in class elki.outlier.meta.SimpleOutlierEnsemble.Par

configure(Parameterization) - Method in class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Par

configure(Parameterization) - Method in class elki.outlier.spatial.neighborhood.ExternalNeighborhood.Factory.Par

configure(Parameterization) - Method in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Par

configure(Parameterization) - Method in class elki.outlier.subspace.AbstractAggarwalYuOutlier.Par

configure(Parameterization) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.Par

configure(Parameterization) - Method in class elki.outlier.subspace.OUTRES.Par

configure(Parameterization) - Method in class elki.outlier.subspace.SOD.Par

configure(Parameterization) - Method in class elki.outlier.trivial.ByLabelOutlier.Par

configure(Parameterization) - Method in class elki.utilities.scaling.outlier.COPOutlierScaling.Par

configure(Parameterization) - Method in class elki.utilities.scaling.outlier.OutlierGammaScaling.Par

configure(Parameterization) - Method in class elki.utilities.scaling.outlier.OutlierLinearScaling.Par

configure(Parameterization) - Method in class elki.utilities.scaling.outlier.OutlierSqrtScaling.Par

configure(Parameterization) - Method in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Par

configure(Parameterization) - Method in class elki.utilities.scaling.outlier.StandardDeviationScaling.Par

configure(Parameterization) - Method in class elki.utilities.scaling.outlier.TopKOutlierScaling.Par

connectKNNInput(SharedObject<? extends KNNList>) - Method in class elki.outlier.distance.parallel.KNNWeightProcessor

Connect the input channel.

contrast - Variable in class elki.outlier.meta.HiCS.HiCSSubspace

The HiCS contrast value.

CONVERGENCE - Static variable in class elki.outlier.subspace.AggarwalYuEvolutionary

At which gene homogenity do we have convergence?

coords - Variable in class elki.outlier.density.HySortOD.Hypercube

Hypercube coordinates.

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

Correlation outlier probability: Outlier Detection in Arbitrarily Oriented Subspaces

COP(Distance<? super V>, int, PCARunner, double, COP.DistanceDist, boolean) - Constructor for class elki.outlier.COP

Constructor.

COP_DIM - Static variable in class elki.outlier.COP

Result name for the dimensionality.

COP_ERRORVEC - Static variable in class elki.outlier.COP

Result name for the error vectors.

COP_SCORES - Static variable in class elki.outlier.COP

Result name for the COP outlier scores.

COP.DistanceDist - Enum in elki.outlier

Score type.

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

Parameterization class.

COPOutlierScaling - Class in elki.utilities.scaling.outlier

CDF based outlier score scaling.

COPOutlierScaling(double) - Constructor for class elki.utilities.scaling.outlier.COPOutlierScaling

Constructor.

COPOutlierScaling.Par - Class in elki.utilities.scaling.outlier

Parameterization class.

count - Variable in class elki.outlier.lof.ALOCI.Node

Number of elements

crossoverOptimized(ArrayList<AggarwalYuEvolutionary.Individuum>) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

method implements the crossover algorithm

CTLuGLSBackwardSearchAlgorithm<V extends elki.data.NumberVector> - Class in elki.outlier.spatial

GLS-Backward Search is a statistical approach to detecting spatial outliers.

CTLuGLSBackwardSearchAlgorithm(Distance<? super V>, int, double) - Constructor for class elki.outlier.spatial.CTLuGLSBackwardSearchAlgorithm

Constructor.

CTLuMeanMultipleAttributes<N,O extends elki.data.NumberVector> - Class in elki.outlier.spatial

Mean Approach is used to discover spatial outliers with multiple attributes.

CTLuMeanMultipleAttributes(NeighborSetPredicate.Factory<N>) - Constructor for class elki.outlier.spatial.CTLuMeanMultipleAttributes

Constructor

CTLuMedianAlgorithm<N> - Class in elki.outlier.spatial

Median Algorithm of C.

CTLuMedianAlgorithm(NeighborSetPredicate.Factory<N>) - Constructor for class elki.outlier.spatial.CTLuMedianAlgorithm

Constructor.

CTLuMedianMultipleAttributes<N,O extends elki.data.NumberVector> - Class in elki.outlier.spatial

Median Approach is used to discover spatial outliers with multiple attributes.

CTLuMedianMultipleAttributes(NeighborSetPredicate.Factory<N>) - Constructor for class elki.outlier.spatial.CTLuMedianMultipleAttributes

Constructor

CTLuMoranScatterplotOutlier<N> - Class in elki.outlier.spatial

Moran scatterplot outliers, based on the standardized deviation from the local and global means.

CTLuMoranScatterplotOutlier(NeighborSetPredicate.Factory<N>) - Constructor for class elki.outlier.spatial.CTLuMoranScatterplotOutlier

Constructor.

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

Spatial outlier detection based on random walks.

CTLuRandomWalkEC(Distance<? super O>, double, double, int) - Constructor for class elki.outlier.spatial.CTLuRandomWalkEC

Constructor.

CTLuScatterplotOutlier<N> - Class in elki.outlier.spatial

Scatterplot-outlier is a spatial outlier detection method that performs a linear regression of object attributes and their neighbors average value.

CTLuScatterplotOutlier(NeighborSetPredicate.Factory<N>) - Constructor for class elki.outlier.spatial.CTLuScatterplotOutlier

Constructor.

CTLuZTestOutlier<N> - Class in elki.outlier.spatial

Detect outliers by comparing their attribute value to the mean and standard deviation of their neighborhood.

CTLuZTestOutlier(NeighborSetPredicate.Factory<N>) - Constructor for class elki.outlier.spatial.CTLuZTestOutlier

Constructor.

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

Candidates limit.

cutoff - Variable in class elki.utilities.scaling.outlier.TopKOutlierScaling

The value we cut off at.

CUTOFF - Static variable in class elki.outlier.lof.KDEOS

Significance cutoff when computing kernel density.

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