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R

random - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch
random generator.
randomSubspace(int, int, int, Random) - Method in class elki.outlier.meta.FeatureBagging
Choose a random subspace.
ranges - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch
Database ranges.
RankingPseudoOutlierScaling - Class in elki.utilities.scaling.outlier
This is a pseudo outlier scoring obtained by only considering the ranks of the objects.
RankingPseudoOutlierScaling() - Constructor for class elki.utilities.scaling.outlier.RankingPseudoOutlierScaling
 
REACHABILITY_DISTANCE_FUNCTION_ID - Static variable in class elki.outlier.lof.FlexibleLOF.Par
The distance function to determine the reachability distance between database objects.
reachabilityDistance - Variable in class elki.outlier.lof.FlexibleLOF.Par
Reachability distance function.
reachabilityDistance - Variable in class elki.outlier.lof.FlexibleLOF
Reachability distance function.
reachabilityDistance - Variable in class elki.outlier.lof.LoOP
Distance function for reachability.
recombineOptimized(AggarwalYuEvolutionary.Individuum, AggarwalYuEvolutionary.Individuum) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch
Recombination method.
recomputeLOFs(DBIDs, FlexibleLOF.LOFResult<O>) - Method in class elki.outlier.lof.OnlineLOF.LOFKNNListener
Recomputes the lofs of the specified ids.
ReferenceBasedOutlierDetection - Class in elki.outlier.distance
Reference-Based Outlier Detection algorithm, an algorithm that computes kNN distances approximately, using reference points.
ReferenceBasedOutlierDetection(int, NumberVectorDistance<? super NumberVector>, ReferencePointsHeuristic) - Constructor for class elki.outlier.distance.ReferenceBasedOutlierDetection
Constructor with parameters.
ReferenceBasedOutlierDetection.Par - Class in elki.outlier.distance
Parameterization class.
referenceDistance - Variable in class elki.outlier.lof.FlexibleLOF
Neighborhood distance function.
refp - Variable in class elki.outlier.distance.ReferenceBasedOutlierDetection.Par
Stores the reference point strategy
refp - Variable in class elki.outlier.distance.ReferenceBasedOutlierDetection
Stores the reference point strategy.
REFP_ID - Static variable in class elki.outlier.distance.ReferenceBasedOutlierDetection.Par
Parameter for the reference points heuristic.
relation - Variable in class elki.outlier.density.IsolationForest.ForestBuilder
Data relation to use
relation - Variable in class elki.outlier.distance.HilOut.HilbertFeatures
Relation indexed
relation - Variable in class elki.outlier.lof.ALOCI.ALOCIQuadTree
Relation indexed.
relation - Variable in class elki.outlier.subspace.OUTRES.KernelDensityEstimator
Relation to retrieve data from
relevantSubspace(long[], DoubleDBIDList, OUTRES.KernelDensityEstimator) - Method in class elki.outlier.subspace.OUTRES
Subspace relevance test.
RescaleMetaOutlierAlgorithm - Class in elki.outlier.meta
Scale another outlier score using the given scaling function.
RescaleMetaOutlierAlgorithm(Algorithm, ScalingFunction) - Constructor for class elki.outlier.meta.RescaleMetaOutlierAlgorithm
Constructor.
RescaleMetaOutlierAlgorithm.Par - Class in elki.outlier.meta
Parameterization class
result - Variable in class elki.outlier.lof.FlexibleLOF.LOFResult
The result of the run of the FlexibleLOF algorithm.
right - Variable in class elki.outlier.density.IsolationForest.Node
Right child, may be null
rkNNReach - Variable in class elki.outlier.lof.FlexibleLOF.LOFResult
The rkNN query w.r.t. the reachability distance.
rkNNRefer - Variable in class elki.outlier.lof.FlexibleLOF.LOFResult
The RkNN query w.r.t. the reference neighborhood distance.
rmax - Variable in class elki.outlier.lof.LOCI
Maximum radius.
rnd - Variable in class elki.outlier.density.IsolationForest.ForestBuilder
Random generator
rnd - Variable in class elki.outlier.density.IsolationForest.Par
Random generator
rnd - Variable in class elki.outlier.density.IsolationForest
Random generator
rnd - Variable in class elki.outlier.lof.ALOCI.Par
Random generator
rnd - Variable in class elki.outlier.lof.ALOCI
Random generator
rnd - Variable in class elki.outlier.meta.FeatureBagging.Par
Random generator.
rnd - Variable in class elki.outlier.meta.FeatureBagging
Random number generator for subspace choice.
rnd - Variable in class elki.outlier.meta.HiCS
Random generator.
rnd - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary.Par
Random generator
rnd - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary
Random generator.
root - Variable in class elki.outlier.density.HySortOD.TreeStrategy
Tree root.
root - Variable in class elki.outlier.lof.ALOCI.ALOCIQuadTree
Tree root
rouletteRankSelection(ArrayList<AggarwalYuEvolutionary.Individuum>) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch
Select surviving individuums weighted by rank.
run() - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch
Run the evolutionary search.
run(Database, Relation<? extends NumberVector>) - Method in class elki.outlier.density.HySortOD
 
run(Database, Relation<N>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.CTLuMedianAlgorithm
Main method.
run(Database, Relation<N>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.CTLuMoranScatterplotOutlier
Main method.
run(Database, Relation<N>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.CTLuScatterplotOutlier
Main method.
run(Database, Relation<N>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.CTLuZTestOutlier
Main method.
run(Database, Relation<N>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.TrimmedMeanApproach
Run the algorithm.
run(Database, Relation<N>, Relation<O>) - Method in class elki.outlier.spatial.CTLuMeanMultipleAttributes
Run the algorithm
run(Database, Relation<N>, Relation<O>) - Method in class elki.outlier.spatial.CTLuMedianMultipleAttributes
Run the algorithm
run(Database, Relation<N>, Relation<O>) - Method in class elki.outlier.spatial.SLOM
 
run(Database, Relation<N>, Relation<O>) - Method in class elki.outlier.spatial.SOF
The main run method
run(Relation<?>) - Method in class elki.outlier.meta.ExternalDoubleOutlierScore
Run the algorithm.
run(Relation<?>) - Method in class elki.outlier.trivial.ByLabelOutlier
Run the algorithm
run(Relation<?>) - Method in class elki.outlier.trivial.TrivialAllOutlier
Run the trivial algorithm.
run(Relation<?>) - Method in class elki.outlier.trivial.TrivialNoOutlier
Run the trivial algorithm.
run(Relation<? extends NumberVector>) - Method in class elki.outlier.density.IsolationForest
Run the isolation forest algorithm.
run(Relation<? extends NumberVector>) - Method in class elki.outlier.distance.ReferenceBasedOutlierDetection
Run the algorithm on the given relation.
run(Relation<? extends NumberVector>) - Method in class elki.outlier.GaussianModel
Run the algorithm
run(Relation<? extends NumberVector>) - Method in class elki.outlier.GaussianUniformMixture
Run the algorithm
run(Relation<? extends NumberVector>) - Method in class elki.outlier.meta.HiCS
Perform HiCS on a given database.
run(Relation<? extends NumberVector>) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary
Performs the evolutionary algorithm on the given database.
run(Relation<? extends NumberVector>) - Method in class elki.outlier.subspace.AggarwalYuNaive
Run the algorithm on the given relation.
run(Relation<? extends NumberVector>) - Method in class elki.outlier.subspace.OUTRES
Main loop for OUTRES
run(Relation<? extends NumberVector>) - Method in class elki.outlier.trivial.TrivialAverageCoordinateOutlier
Run the actual algorithm.
run(Relation<NumberVector>) - Method in class elki.outlier.meta.FeatureBagging
Run the algorithm on a data set.
run(Relation<O>) - Method in class elki.outlier.distance.AbstractDBOutlier
Runs the algorithm in the timed evaluation part.
run(Relation<O>) - Method in class elki.outlier.distance.HilOut
Run the HilOut algorithm.
run(Relation<O>) - Method in class elki.outlier.distance.KNNDD
Runs the algorithm in the timed evaluation part.
run(Relation<O>) - Method in class elki.outlier.distance.KNNOutlier
Runs the algorithm in the timed evaluation part.
run(Relation<O>) - Method in class elki.outlier.distance.KNNSOS
Run the algorithm.
run(Relation<O>) - Method in class elki.outlier.distance.KNNWeightOutlier
Runs the algorithm in the timed evaluation part.
run(Relation<O>) - Method in class elki.outlier.distance.LocalIsolationCoefficient
Runs the algorithm in the timed evaluation part.
run(Relation<O>) - Method in class elki.outlier.distance.ODIN
Run the ODIN algorithm
run(Relation<O>) - Method in class elki.outlier.distance.parallel.ParallelKNNOutlier
Run the parallel kNN outlier detector.
run(Relation<O>) - Method in class elki.outlier.distance.parallel.ParallelKNNWeightOutlier
Run the parallel kNN weight outlier detector.
run(Relation<O>) - Method in class elki.outlier.distance.SOS
Run the algorithm.
run(Relation<O>) - Method in class elki.outlier.DWOF
Performs the Generalized DWOF_SCORE algorithm on the given database by calling all the other methods in the proper order.
run(Relation<O>) - Method in class elki.outlier.intrinsic.IDOS
Run the algorithm
run(Relation<O>) - Method in class elki.outlier.intrinsic.ISOS
Run the algorithm.
run(Relation<O>) - Method in class elki.outlier.intrinsic.LID
Run the algorithm
run(Relation<O>) - Method in class elki.outlier.lof.COF
Runs the COF algorithm on the given database.
run(Relation<O>) - Method in class elki.outlier.lof.FlexibleLOF
run(Relation<O>) - Method in class elki.outlier.lof.INFLO
Run the algorithm
run(Relation<O>) - Method in class elki.outlier.lof.KDEOS
Run the KDEOS outlier detection algorithm.
run(Relation<O>) - Method in class elki.outlier.lof.LDF
Run the naive kernel density LOF algorithm.
run(Relation<O>) - Method in class elki.outlier.lof.LDOF
Run the algorithm
run(Relation<O>) - Method in class elki.outlier.lof.LOCI
Run the algorithm
run(Relation<O>) - Method in class elki.outlier.lof.LOF
Runs the LOF algorithm on the given database.
run(Relation<O>) - Method in class elki.outlier.lof.LoOP
Performs the LoOP algorithm on the given database.
run(Relation<O>) - Method in class elki.outlier.lof.OnlineLOF
Performs the Generalized LOF_SCORE algorithm on the given database by calling #doRunInTime(Database) and adds a OnlineLOF.LOFKNNListener to the preprocessors.
run(Relation<O>) - Method in class elki.outlier.lof.parallel.ParallelLOF
Run the LOF algorithm in parallel.
run(Relation<O>) - Method in class elki.outlier.lof.parallel.ParallelSimplifiedLOF
Run the simplified LOF algorithm.
run(Relation<O>) - Method in class elki.outlier.lof.SimpleKernelDensityLOF
Run the naive kernel density LOF algorithm.
run(Relation<O>) - Method in class elki.outlier.lof.SimplifiedLOF
Run the Simple LOF algorithm.
run(Relation<O>) - Method in class elki.outlier.lof.VarianceOfVolume
Runs the VOV algorithm on the given database.
run(Relation<O>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.CTLuRandomWalkEC
Run the algorithm.
run(Relation<V>) - Method in class elki.outlier.anglebased.ABOD
Run ABOD on the data set.
run(Relation<V>) - Method in class elki.outlier.anglebased.FastABOD
Run Fast-ABOD on the data set.
run(Relation<V>) - Method in class elki.outlier.anglebased.LBABOD
Run LB-ABOD on the data set.
run(Relation<V>) - Method in class elki.outlier.COP
Process a single relation.
run(Relation<V>) - Method in class elki.outlier.lof.ALOCI
Run the algorithm.
run(Relation<V>) - Method in class elki.outlier.subspace.SOD
Performs the SOD algorithm on the given database.
run(Relation<V>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.CTLuGLSBackwardSearchAlgorithm
Run the algorithm
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