Uses of Class
elki.result.outlier.OutlierResult

Packages that use OutlierResult

Package	Description
elki.evaluation.outlier	Evaluate an outlier score using a misclassification based cost model.
elki.evaluation.scores.adapter
elki.outlier	Outlier detection algorithms.
elki.outlier.anglebased	Angle-based outlier detection algorithms.
elki.outlier.density	Density-based outlier detection algorithms.
elki.outlier.distance	Distance-based outlier detection algorithms, such as DBOutlier and kNN.
elki.outlier.distance.parallel	Parallel implementations of distance-based outlier detectors.
elki.outlier.intrinsic	Outlier detection algorithms based on intrinsic dimensionality.
elki.outlier.lof	LOF family of outlier detection algorithms.
elki.outlier.lof.parallel	Parallelized variants of LOF.
elki.outlier.meta	Meta outlier detection algorithms: external scores, score rescaling.
elki.outlier.spatial	Spatial outlier detection algorithms.
elki.outlier.subspace	Subspace outlier detection methods.
elki.outlier.trivial	Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
elki.result.outlier	Outlier result classes.
elki.utilities.scaling.outlier	Scaling of outlier scores, that require a statistical analysis of the occurring values.

Uses of OutlierResult in elki.evaluation.outlier

Methods in elki.evaluation.outlier with parameters of type OutlierResult

Modifier and Type	Method	Description
protected JudgeOutlierScores.ScoreResult	JudgeOutlierScores.computeScore(elki.database.ids.DBIDs ids, elki.database.ids.DBIDs outlierIds, OutlierResult or)	Evaluate a single outlier score result.
private OutlierSmROCCurve.SmROCResult	OutlierSmROCCurve.computeSmROCResult(elki.database.ids.SetDBIDs positiveids, OutlierResult or)
elki.result.HistogramResult	ComputeOutlierHistogram.evaluateOutlierResult(elki.database.Database database, OutlierResult or)	Evaluate a single outlier result as histogram.

Uses of OutlierResult in elki.evaluation.scores.adapter

Constructors in elki.evaluation.scores.adapter with parameters of type OutlierResult

Constructor	Description
OutlierScoreAdapter(elki.database.ids.DBIDs positive, OutlierResult o)	Constructor.

Uses of OutlierResult in elki.outlier

Methods in elki.outlier that return OutlierResult

Modifier and Type	Method	Description
default OutlierResult	OutlierAlgorithm.autorun(elki.database.Database database)
OutlierResult	COP.run(elki.database.relation.Relation<V> relation)	Process a single relation.
OutlierResult	DWOF.run(elki.database.relation.Relation<O> relation)	Performs the Generalized DWOF_SCORE algorithm on the given database by calling all the other methods in the proper order.
OutlierResult	GaussianModel.run(elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Run the algorithm
OutlierResult	GaussianUniformMixture.run(elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Run the algorithm

Uses of OutlierResult in elki.outlier.anglebased

Methods in elki.outlier.anglebased that return OutlierResult

Modifier and Type	Method	Description
OutlierResult	ABOD.run(elki.database.relation.Relation<V> relation)	Run ABOD on the data set.
OutlierResult	FastABOD.run(elki.database.relation.Relation<V> relation)	Run Fast-ABOD on the data set.
OutlierResult	LBABOD.run(elki.database.relation.Relation<V> relation)	Run LB-ABOD on the data set.

Uses of OutlierResult in elki.outlier.density

Methods in elki.outlier.density that return OutlierResult

Modifier and Type	Method	Description
OutlierResult	HySortOD.run(elki.database.Database db, elki.database.relation.Relation<? extends elki.data.NumberVector> relation)
OutlierResult	IsolationForest.run(elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Run the isolation forest algorithm.

Uses of OutlierResult in elki.outlier.distance

Methods in elki.outlier.distance that return OutlierResult

Modifier and Type	Method	Description
OutlierResult	AbstractDBOutlier.run(elki.database.relation.Relation<O> relation)	Runs the algorithm in the timed evaluation part.
OutlierResult	HilOut.run(elki.database.relation.Relation<O> relation)	Run the HilOut algorithm.
OutlierResult	KNNDD.run(elki.database.relation.Relation<O> relation)	Runs the algorithm in the timed evaluation part.
OutlierResult	KNNOutlier.run(elki.database.relation.Relation<O> relation)	Runs the algorithm in the timed evaluation part.
OutlierResult	KNNSOS.run(elki.database.relation.Relation<O> relation)	Run the algorithm.
OutlierResult	KNNWeightOutlier.run(elki.database.relation.Relation<O> relation)	Runs the algorithm in the timed evaluation part.
OutlierResult	LocalIsolationCoefficient.run(elki.database.relation.Relation<O> relation)	Runs the algorithm in the timed evaluation part.
OutlierResult	ODIN.run(elki.database.relation.Relation<O> relation)	Run the ODIN algorithm
OutlierResult	ReferenceBasedOutlierDetection.run(elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Run the algorithm on the given relation.
OutlierResult	SOS.run(elki.database.relation.Relation<O> relation)	Run the algorithm.

Uses of OutlierResult in elki.outlier.distance.parallel

Methods in elki.outlier.distance.parallel that return OutlierResult

Modifier and Type	Method	Description
OutlierResult	ParallelKNNOutlier.run(elki.database.relation.Relation<O> relation)	Run the parallel kNN outlier detector.
OutlierResult	ParallelKNNWeightOutlier.run(elki.database.relation.Relation<O> relation)	Run the parallel kNN weight outlier detector.

Uses of OutlierResult in elki.outlier.intrinsic

Methods in elki.outlier.intrinsic that return OutlierResult

Modifier and Type	Method	Description
OutlierResult	IDOS.run(elki.database.relation.Relation<O> relation)	Run the algorithm
OutlierResult	ISOS.run(elki.database.relation.Relation<O> relation)	Run the algorithm.
OutlierResult	LID.run(elki.database.relation.Relation<O> relation)	Run the algorithm

Uses of OutlierResult in elki.outlier.lof

Fields in elki.outlier.lof declared as OutlierResult

Modifier and Type	Field	Description
private OutlierResult	FlexibleLOF.LOFResult.result	The result of the run of the FlexibleLOF algorithm.

Methods in elki.outlier.lof that return OutlierResult

Modifier and Type	Method	Description
OutlierResult	FlexibleLOF.LOFResult.getResult()	Get the outlier result.
OutlierResult	ALOCI.run(elki.database.relation.Relation<V> relation)	Run the algorithm.
OutlierResult	COF.run(elki.database.relation.Relation<O> relation)	Runs the COF algorithm on the given database.
OutlierResult	FlexibleLOF.run(elki.database.relation.Relation<O> relation)	Performs the Generalized LOF algorithm on the given database by calling FlexibleLOF.doRunInTime(elki.database.ids.DBIDs, elki.database.query.knn.KNNSearcher<elki.database.ids.DBIDRef>, elki.database.query.knn.KNNSearcher<elki.database.ids.DBIDRef>, elki.logging.progress.StepProgress).
OutlierResult	INFLO.run(elki.database.relation.Relation<O> relation)	Run the algorithm
OutlierResult	KDEOS.run(elki.database.relation.Relation<O> rel)	Run the KDEOS outlier detection algorithm.
OutlierResult	LDF.run(elki.database.relation.Relation<O> relation)	Run the naive kernel density LOF algorithm.
OutlierResult	LDOF.run(elki.database.relation.Relation<O> relation)	Run the algorithm
OutlierResult	LOCI.run(elki.database.relation.Relation<O> relation)	Run the algorithm
OutlierResult	LOF.run(elki.database.relation.Relation<O> relation)	Runs the LOF algorithm on the given database.
OutlierResult	LoOP.run(elki.database.relation.Relation<O> relation)	Performs the LoOP algorithm on the given database.
OutlierResult	OnlineLOF.run(elki.database.relation.Relation<O> relation)	Performs the Generalized LOF_SCORE algorithm on the given database by calling #doRunInTime(Database) and adds a OnlineLOF.LOFKNNListener to the preprocessors.
OutlierResult	SimpleKernelDensityLOF.run(elki.database.relation.Relation<O> relation)	Run the naive kernel density LOF algorithm.
OutlierResult	SimplifiedLOF.run(elki.database.relation.Relation<O> relation)	Run the Simple LOF algorithm.
OutlierResult	VarianceOfVolume.run(elki.database.relation.Relation<O> relation)	Runs the VOV algorithm on the given database.

Constructors in elki.outlier.lof with parameters of type OutlierResult

Constructor	Description
LOFResult(OutlierResult result, elki.database.query.knn.KNNSearcher<elki.database.ids.DBIDRef> kNNRefer, elki.database.query.knn.KNNSearcher<elki.database.ids.DBIDRef> kNNReach, elki.database.datastore.WritableDoubleDataStore lrds, elki.database.datastore.WritableDoubleDataStore lofs)	Encapsulates information generated during a run of the FlexibleLOF algorithm.

Uses of OutlierResult in elki.outlier.lof.parallel

Methods in elki.outlier.lof.parallel that return OutlierResult

Modifier and Type	Method	Description
OutlierResult	ParallelLOF.run(elki.database.relation.Relation<O> relation)	Run the LOF algorithm in parallel.
OutlierResult	ParallelSimplifiedLOF.run(elki.database.relation.Relation<O> relation)	Run the simplified LOF algorithm.

Uses of OutlierResult in elki.outlier.meta

Methods in elki.outlier.meta that return OutlierResult

Modifier and Type	Method	Description
OutlierResult	RescaleMetaOutlierAlgorithm.autorun(elki.database.Database database)
OutlierResult	SimpleOutlierEnsemble.autorun(elki.database.Database database)
private OutlierResult	RescaleMetaOutlierAlgorithm.getOutlierResult(java.lang.Object result)	Find an OutlierResult to work with.
OutlierResult	ExternalDoubleOutlierScore.run(elki.database.relation.Relation<?> relation)	Run the algorithm.
OutlierResult	FeatureBagging.run(elki.database.relation.Relation<elki.data.NumberVector> relation)	Run the algorithm on a data set.
OutlierResult	HiCS.run(elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Perform HiCS on a given database.

Uses of OutlierResult in elki.outlier.spatial

Methods in elki.outlier.spatial that return OutlierResult

Modifier and Type	Method	Description
OutlierResult	CTLuGLSBackwardSearchAlgorithm.run(elki.database.relation.Relation<V> relationx, elki.database.relation.Relation<? extends elki.data.NumberVector> relationy)	Run the algorithm
OutlierResult	CTLuMeanMultipleAttributes.run(elki.database.Database database, elki.database.relation.Relation<N> spatial, elki.database.relation.Relation<O> attributes)	Run the algorithm
OutlierResult	CTLuMedianAlgorithm.run(elki.database.Database database, elki.database.relation.Relation<N> nrel, elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Main method.
OutlierResult	CTLuMedianMultipleAttributes.run(elki.database.Database database, elki.database.relation.Relation<N> spatial, elki.database.relation.Relation<O> attributes)	Run the algorithm
OutlierResult	CTLuMoranScatterplotOutlier.run(elki.database.Database database, elki.database.relation.Relation<N> nrel, elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Main method.
OutlierResult	CTLuRandomWalkEC.run(elki.database.relation.Relation<O> spatial, elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Run the algorithm.
OutlierResult	CTLuScatterplotOutlier.run(elki.database.Database database, elki.database.relation.Relation<N> nrel, elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Main method.
OutlierResult	CTLuZTestOutlier.run(elki.database.Database database, elki.database.relation.Relation<N> nrel, elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Main method.
OutlierResult	SLOM.run(elki.database.Database database, elki.database.relation.Relation<N> spatial, elki.database.relation.Relation<O> relation)
OutlierResult	SOF.run(elki.database.Database database, elki.database.relation.Relation<N> spatial, elki.database.relation.Relation<O> relation)	The main run method
OutlierResult	TrimmedMeanApproach.run(elki.database.Database database, elki.database.relation.Relation<N> nrel, elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Run the algorithm.

Uses of OutlierResult in elki.outlier.subspace

Methods in elki.outlier.subspace that return OutlierResult

Modifier and Type	Method	Description
OutlierResult	AggarwalYuEvolutionary.run(elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Performs the evolutionary algorithm on the given database.
OutlierResult	AggarwalYuNaive.run(elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Run the algorithm on the given relation.
OutlierResult	OUTRES.run(elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Main loop for OUTRES
OutlierResult	SOD.run(elki.database.relation.Relation<V> relation)	Performs the SOD algorithm on the given database.

Uses of OutlierResult in elki.outlier.trivial

Methods in elki.outlier.trivial that return OutlierResult

Modifier and Type	Method	Description
OutlierResult	ByLabelOutlier.autorun(elki.database.Database database)
OutlierResult	ByLabelOutlier.run(elki.database.relation.Relation<?> relation)	Run the algorithm
OutlierResult	TrivialAllOutlier.run(elki.database.relation.Relation<?> relation)	Run the trivial algorithm.
OutlierResult	TrivialAverageCoordinateOutlier.run(elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Run the actual algorithm.
OutlierResult	TrivialNoOutlier.run(elki.database.relation.Relation<?> relation)	Run the trivial algorithm.

Uses of OutlierResult in elki.result.outlier

Methods in elki.result.outlier that return types with arguments of type OutlierResult

Modifier and Type	Method	Description
static java.util.List<OutlierResult>	OutlierResult.getOutlierResults(java.lang.Object r)	Collect all outlier results from a Result

Uses of OutlierResult in elki.utilities.scaling.outlier

Methods in elki.utilities.scaling.outlier with parameters of type OutlierResult

Modifier and Type	Method	Description
void	COPOutlierScaling.prepare(OutlierResult or)
void	HeDESNormalizationOutlierScaling.prepare(OutlierResult or)
void	LogRankingPseudoOutlierScaling.prepare(OutlierResult or)
void	MinusLogGammaScaling.prepare(OutlierResult or)
void	MinusLogStandardDeviationScaling.prepare(OutlierResult or)
void	MixtureModelOutlierScaling.prepare(OutlierResult or)
void	MultiplicativeInverseScaling.prepare(OutlierResult or)
void	OutlierGammaScaling.prepare(OutlierResult or)
void	OutlierLinearScaling.prepare(OutlierResult or)
void	OutlierMinusLogScaling.prepare(OutlierResult or)
void	OutlierScaling.prepare(OutlierResult or)	Prepare is called once for each data set, before getScaled() will be called.
void	OutlierSqrtScaling.prepare(OutlierResult or)
void	RankingPseudoOutlierScaling.prepare(OutlierResult or)
void	SigmoidOutlierScaling.prepare(OutlierResult or)
void	SqrtStandardDeviationScaling.prepare(OutlierResult or)
void	StandardDeviationScaling.prepare(OutlierResult or)
void	TopKOutlierScaling.prepare(OutlierResult or)