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S

scale - Variable in class elki.outlier.lof.KDEOS
Kernel scaling parameter.
scaledmax - Variable in class elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling
Maximum after scaling
scaledmin - Variable in class elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling
Minimum after scaling
scaleval - Variable in class elki.utilities.scaling.outlier.MultiplicativeInverseScaling
Scaling value, set by MultiplicativeInverseScaling.prepare(elki.result.outlier.OutlierResult).
scaling - Variable in class elki.evaluation.outlier.ComputeOutlierHistogram.Par
Scaling function to use
scaling - Variable in class elki.evaluation.outlier.ComputeOutlierHistogram
Scaling function to use
scaling - Variable in class elki.evaluation.outlier.JudgeOutlierScores.Par
Scaling function to use
scaling - Variable in class elki.evaluation.outlier.JudgeOutlierScores
Scaling function to use
scaling - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par
Scaling function to use
scaling - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore
Scaling function to use
scaling - Variable in class elki.outlier.meta.RescaleMetaOutlierAlgorithm.Par
Scaling function to use
scaling - Variable in class elki.outlier.meta.RescaleMetaOutlierAlgorithm
Scaling function to use
SCALING_ID - Static variable in class elki.evaluation.outlier.ComputeOutlierHistogram.Par
Parameter to specify a scaling function to use.
SCALING_ID - Static variable in class elki.evaluation.outlier.JudgeOutlierScores.Par
Parameter to specify a scaling function to use.
SCALING_ID - Static variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par
Parameter to specify a scaling function to use.
SCALING_ID - Static variable in class elki.outlier.meta.RescaleMetaOutlierAlgorithm.Par
Parameter to specify a scaling function to use.
scan(HilOut.HilbertFeatures, int) - Method in class elki.outlier.distance.HilOut
Scan function performs a squential scan over the data.
score(int) - Method in class elki.outlier.density.HySortOD
Compute score according to hypercube neighborhood density.
SCORE_ID - Static variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par
Parameter that specifies the object score pattern
scorepattern - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par
object score pattern
scorepattern - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore
object score pattern
ScoreResult(Collection<double[]>) - Constructor for class elki.evaluation.outlier.JudgeOutlierScores.ScoreResult
Constructor.
scores - Variable in class elki.evaluation.scores.adapter.OutlierScoreAdapter
Outlier score.
scores - Variable in class elki.result.outlier.OrderingFromRelation
Outlier scores.
scores - Variable in class elki.result.outlier.OutlierResult
Outlier scores.
scores - Variable in class elki.utilities.scaling.outlier.LogRankingPseudoOutlierScaling
The actual scores
scores - Variable in class elki.utilities.scaling.outlier.RankingPseudoOutlierScaling
The actual scores
ScoreType() - Constructor for enum elki.outlier.distance.HilOut.ScoreType
 
SEED_ID - Static variable in class elki.outlier.density.IsolationForest.Par
Parameter to specify the seed to initialize Random.
SEED_ID - Static variable in class elki.outlier.lof.ALOCI.Par
Parameter to specify the seed to initialize Random.
SEED_ID - Static variable in class elki.outlier.meta.FeatureBagging.Par
The parameter to specify the random seed.
SEED_ID - Static variable in class elki.outlier.subspace.AggarwalYuEvolutionary.Par
Parameter to specify the random generator seed.
set - Variable in class elki.evaluation.scores.adapter.OutlierScoreAdapter
Set of positive objects
set(int) - Method in class elki.outlier.meta.HiCS.HiCSSubspace
Set a bit in the subspace.
setActualMaximum(double) - Method in class elki.result.outlier.BasicOutlierScoreMeta
 
setActualMinimum(double) - Method in class elki.result.outlier.BasicOutlierScoreMeta
 
setRkNNReach(RKNNSearcher<DBIDRef>) - Method in class elki.outlier.lof.FlexibleLOF.LOFResult
Sets the RkNN query w.r.t. the reachability distance.
setRkNNRefer(RKNNSearcher<DBIDRef>) - Method in class elki.outlier.lof.FlexibleLOF.LOFResult
Sets the RkNN query w.r.t. the reference neighborhood distance.
setValue(int, int) - Method in class elki.outlier.lof.LOCI.DoubleIntArrayList
Get the value at the given position.
shift - Variable in class elki.outlier.distance.HilOut.HilbertFeatures
Current curve shift
shift - Variable in class elki.outlier.lof.ALOCI.ALOCIQuadTree
Tree parameters
SHORTENED_ARRAY - Static variable in class elki.outlier.COP
A clone of DoubleArrayAdapter that only uses the first 85% of the array!
sigma - Variable in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling
Parameter sigma of the gaussian distribution (outliers)
SigmoidOutlierScaling - Class in elki.utilities.scaling.outlier
Tries to fit a sigmoid to the outlier scores and use it to convert the values to probability estimates in the range of 0.0 to 1.0
SigmoidOutlierScaling() - Constructor for class elki.utilities.scaling.outlier.SigmoidOutlierScaling
 
SIM_ID - Static variable in class elki.outlier.subspace.SOD.Par
Parameter for the similarity function.
similarityFunction - Variable in class elki.outlier.subspace.SOD.Par
The similarity function.
similarityFunction - Variable in class elki.outlier.subspace.SOD
Similarity function to use.
SimpleKernelDensityLOF<O extends elki.data.NumberVector> - Class in elki.outlier.lof
A simple variant of the LOF algorithm, which uses a simple kernel density estimation instead of the local reachability density.
SimpleKernelDensityLOF(int, Distance<? super O>, KernelDensityFunction) - Constructor for class elki.outlier.lof.SimpleKernelDensityLOF
Constructor.
SimpleOutlierEnsemble - Class in elki.outlier.meta
Simple outlier ensemble method.
SimpleOutlierEnsemble(List<? extends OutlierAlgorithm>, EnsembleVoting) - Constructor for class elki.outlier.meta.SimpleOutlierEnsemble
Constructor.
SimpleOutlierEnsemble.Par - Class in elki.outlier.meta
Parameterization class.
SimplifiedLOF<O> - Class in elki.outlier.lof
A simplified version of the original LOF algorithm, which does not use the reachability distance, yielding less stable results on inliers.
SimplifiedLOF(Distance<? super O>, int) - Constructor for class elki.outlier.lof.SimplifiedLOF
Constructor.
SimplifiedLRDProcessor - Class in elki.outlier.lof.parallel
Processor for the "local reachability density" of LOF.
SimplifiedLRDProcessor(DataStore<? extends KNNList>) - Constructor for class elki.outlier.lof.parallel.SimplifiedLRDProcessor
Constructor.
SimplifiedLRDProcessor.Instance - Class in elki.outlier.lof.parallel
Instance
singleIteration(Relation<V>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.CTLuGLSBackwardSearchAlgorithm
Run a single iteration of the GLS-SOD modeling step
size - Variable in class elki.outlier.density.IsolationForest.Node
Subtree size
size - Variable in class elki.outlier.lof.LOCI.DoubleIntArrayList
Used size
size() - Method in class elki.outlier.lof.LOCI.DoubleIntArrayList
Collection size.
SLOM<N,​O> - Class in elki.outlier.spatial
SLOM: a new measure for local spatial outliers
SLOM(NeighborSetPredicate.Factory<N>, PrimitiveDistance<O>) - Constructor for class elki.outlier.spatial.SLOM
Constructor.
SMAUROC_LABEL - Static variable in class elki.evaluation.outlier.OutlierSmROCCurve
The label we use for marking AUROC values.
SmROCResult(int) - Constructor for class elki.evaluation.outlier.OutlierSmROCCurve.SmROCResult
Constructor.
SOD<V extends elki.data.NumberVector> - Class in elki.outlier.subspace
Subspace Outlier Degree: Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data.
SOD(int, double, Similarity<V>, boolean) - Constructor for class elki.outlier.subspace.SOD
Constructor with parameters.
SOD.Par<V extends elki.data.NumberVector> - Class in elki.outlier.subspace
Parameterization class.
SOD.SODModel - Class in elki.outlier.subspace
SOD Model class
SODModel(double[], long[]) - Constructor for class elki.outlier.subspace.SOD.SODModel
Initialize SOD Model
SOF<N,​O> - Class in elki.outlier.spatial
The Spatial Outlier Factor (SOF) is a spatial LOF variation.
SOF(NeighborSetPredicate.Factory<N>, PrimitiveDistance<O>) - Constructor for class elki.outlier.spatial.SOF
Constructor.
sort() - Method in class elki.outlier.lof.LOCI.DoubleIntArrayList
Sort the array list.
SORT_BY_CONTRAST_ASC - Static variable in class elki.outlier.meta.HiCS.HiCSSubspace
Sort subspaces by their actual subspace.
SORT_BY_CONTRAST_DESC - Static variable in class elki.outlier.meta.HiCS.HiCSSubspace
Sort subspaces by their actual subspace.
SORT_BY_SUBSPACE - Static variable in class elki.outlier.meta.HiCS.HiCSSubspace
Sort subspaces by their actual subspace.
SOS<O> - Class in elki.outlier.distance
Stochastic Outlier Selection.
SOS(Distance<? super O>, double) - Constructor for class elki.outlier.distance.SOS
Constructor.
sparsity(int, int, int, double) - Static method in class elki.outlier.subspace.AbstractAggarwalYuOutlier
Method to calculate the sparsity coefficient of.
split - Variable in class elki.outlier.density.IsolationForest.Node
Split value
splitfreq - Variable in class elki.evaluation.outlier.ComputeOutlierHistogram.Par
Flag to make split frequencies
splitfreq - Variable in class elki.evaluation.outlier.ComputeOutlierHistogram
Flag to make split frequencies
SPLITFREQ_ID - Static variable in class elki.evaluation.outlier.ComputeOutlierHistogram.Par
Flag to count frequencies of outliers and non-outliers separately
SqrtStandardDeviationScaling - Class in elki.utilities.scaling.outlier
Scaling that can map arbitrary values to a probability in the range of [0:1].
SqrtStandardDeviationScaling(double, double, double) - Constructor for class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling
Constructor.
SqrtStandardDeviationScaling.Par - Class in elki.utilities.scaling.outlier
Parameterization class.
StandardDeviationScaling - Class in elki.utilities.scaling.outlier
Scaling that can map arbitrary values to a probability in the range of [0:1].
StandardDeviationScaling() - Constructor for class elki.utilities.scaling.outlier.StandardDeviationScaling
Constructor.
StandardDeviationScaling(double, double) - Constructor for class elki.utilities.scaling.outlier.StandardDeviationScaling
Constructor.
StandardDeviationScaling.Par - Class in elki.utilities.scaling.outlier
Parameterization class.
statTest - Variable in class elki.outlier.meta.HiCS
Statistical test to use.
stddev - Variable in class elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling
Standard deviation
steps - Variable in class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Par
The number of steps to do.
steps - Variable in class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory
Number of steps to do
steps - Variable in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Par
The number of steps to do.
steps - Variable in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory
Number of steps to do
steps - Variable in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood
The number of steps to extend to.
STEPS_ID - Static variable in class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Par
Parameter to specify the number of steps allowed
STEPS_ID - Static variable in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Par
Parameter to specify the number of steps allowed
store - Variable in class elki.outlier.spatial.neighborhood.AbstractPrecomputedNeighborhood
The data
strategy - Variable in class elki.outlier.density.HySortOD
Strategy for hypercubes density search.
SUBSAMPLE_SIZE_ID - Static variable in class elki.outlier.density.IsolationForest.Par
Parameter for the sub sample size
subsampleSize - Variable in class elki.outlier.density.IsolationForest.ForestBuilder
Subsample size to use for the trees.
subsampleSize - Variable in class elki.outlier.density.IsolationForest.Par
Size of the sample set
subsampleSize - Variable in class elki.outlier.density.IsolationForest
The sub sample size
subsetNeighborhoodQuery(DoubleDBIDList, DBIDRef, PrimitiveDistance<? super NumberVector>, double, OUTRES.KernelDensityEstimator, ModifiableDoubleDBIDList) - Method in class elki.outlier.subspace.OUTRES
Refine neighbors within a subset.
subspaceDensity(long[], DoubleDBIDList) - Method in class elki.outlier.subspace.OUTRES.KernelDensityEstimator
Compute density in the given subspace.
subspaceOutlierDegree(V, double[], long[]) - Method in class elki.outlier.subspace.SOD
Compute SOD score.
sum_nn - Variable in class elki.outlier.distance.HilOut.HilFeature
Current weight (sum of nn distances)
sumOfProbabilities(DBIDIter, DBIDArrayIter, double[]) - Static method in class elki.outlier.distance.SOS
Compute the sum of probabilities, stop at first 0, ignore query object.
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