Uses of Class
de.lmu.ifi.dbs.elki.result.outlier.OutlierResult

Packages that use OutlierResult

Package	Description
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased	Angle-based outlier detection algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.clustering	Clustering based outlier detection.
de.lmu.ifi.dbs.elki.algorithm.outlier.distance	Distance-based outlier detection algorithms, such as DBOutlier and kNN.
de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel	Parallel implementations of distance-based outlier detectors.
de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic	Outlier detection algorithms based on intrinsic dimensionality.
de.lmu.ifi.dbs.elki.algorithm.outlier.lof	LOF family of outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel	Parallelized variants of LOF.
de.lmu.ifi.dbs.elki.algorithm.outlier.meta	Meta outlier detection algorithms: external scores, score rescaling
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial	Spatial outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace	Subspace outlier detection methods Methods that detect outliers in subspaces (projections) of the data set.
de.lmu.ifi.dbs.elki.algorithm.outlier.svm	Support-Vector-Machines for outlier detection.
de.lmu.ifi.dbs.elki.algorithm.outlier.trivial	Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
de.lmu.ifi.dbs.elki.application.greedyensemble	Greedy ensembles for outlier detection.
de.lmu.ifi.dbs.elki.evaluation.outlier	Evaluate an outlier score using a misclassification based cost model
de.lmu.ifi.dbs.elki.evaluation.scores.adapter	Adapter classes for ranking and scoring measures.
de.lmu.ifi.dbs.elki.result	Result types, representation and handling
de.lmu.ifi.dbs.elki.result.outlier	Outlier result classes
de.lmu.ifi.dbs.elki.utilities.scaling.outlier	Scaling of outlier scores, that require a statistical analysis of the occurring values
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier	Visualizers for outlier scores based on 2D projections
tutorial.outlier	Tutorials on implementing outlier detection methods in ELKI.

Uses of OutlierResult in de.lmu.ifi.dbs.elki.algorithm.outlier

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier that return OutlierResult

Modifier and Type	Method and Description
OutlierResult	OutlierAlgorithm.run(Database database)
OutlierResult	OPTICSOF.run(Database database, Relation<O> relation) Perform OPTICS-based outlier detection.
OutlierResult	DWOF.run(Database database, Relation<O> relation) Performs the Generalized DWOF_SCORE algorithm on the given database by calling all the other methods in the proper order.
OutlierResult	SimpleCOP.run(Database database, Relation<V> data)
OutlierResult	COP.run(Relation<V> relation) Process a single relation.
OutlierResult	GaussianUniformMixture.run(Relation<V> relation) Run the algorithm
OutlierResult	GaussianModel.run(Relation<V> relation) Run the algorithm

Uses of OutlierResult in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased that return OutlierResult

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

Uses of OutlierResult in de.lmu.ifi.dbs.elki.algorithm.outlier.clustering

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.clustering that return OutlierResult

Modifier and Type	Method and Description
OutlierResult	SilhouetteOutlierDetection.run(Database database)
OutlierResult	CBLOF.run(Database database, Relation<O> relation) Runs the CBLOF algorithm on the given database.
OutlierResult	KMeansOutlierDetection.run(Database database, Relation<O> relation) Run the outlier detection algorithm.
OutlierResult	EMOutlier.run(Database database, Relation<V> relation) Runs the algorithm in the timed evaluation part.

Uses of OutlierResult in de.lmu.ifi.dbs.elki.algorithm.outlier.distance

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.distance that return OutlierResult

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

Uses of OutlierResult in de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel that return OutlierResult

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

Uses of OutlierResult in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic that return OutlierResult

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

Uses of OutlierResult in de.lmu.ifi.dbs.elki.algorithm.outlier.lof

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier.lof declared as OutlierResult

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

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.lof that return OutlierResult

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

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier.lof with parameters of type OutlierResult

Constructor and Description
LOFResult(OutlierResult result, KNNQuery<O> kNNRefer, KNNQuery<O> kNNReach, WritableDoubleDataStore lrds, WritableDoubleDataStore lofs) Encapsulates information generated during a run of the FlexibleLOF algorithm.

Uses of OutlierResult in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel that return OutlierResult

Modifier and Type	Method and Description
OutlierResult	ParallelSimplifiedLOF.run(Database database, Relation<O> relation)
OutlierResult	ParallelLOF.run(Database database, Relation<O> relation)

Uses of OutlierResult in de.lmu.ifi.dbs.elki.algorithm.outlier.meta

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.meta that return OutlierResult

Modifier and Type	Method and Description
private OutlierResult	RescaleMetaOutlierAlgorithm.getOutlierResult(ResultHierarchy hier, Result result) Find an OutlierResult to work with.
OutlierResult	SimpleOutlierEnsemble.run(Database database)
OutlierResult	RescaleMetaOutlierAlgorithm.run(Database database)
OutlierResult	ExternalDoubleOutlierScore.run(Database database, Relation<?> relation) Run the algorithm.
OutlierResult	FeatureBagging.run(Database database, Relation<NumberVector> relation) Run the algorithm on a data set.
OutlierResult	HiCS.run(Relation<V> relation) Perform HiCS on a given database.

Uses of OutlierResult in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial that return OutlierResult

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

Uses of OutlierResult in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace that return OutlierResult

Modifier and Type	Method and Description
OutlierResult	OutRankS1.run(Database database)
OutlierResult	AggarwalYuEvolutionary.run(Database database, Relation<V> relation) Performs the evolutionary algorithm on the given database.
OutlierResult	OUTRES.run(Relation<? extends NumberVector> relation) Main loop for OUTRES
OutlierResult	SOD.run(Relation<V> relation) Performs the SOD algorithm on the given database.
OutlierResult	AggarwalYuNaive.run(Relation<V> relation) Run the algorithm on the given relation.

Uses of OutlierResult in de.lmu.ifi.dbs.elki.algorithm.outlier.svm

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.svm that return OutlierResult

Modifier and Type	Method and Description
OutlierResult	LibSVMOneClassOutlierDetection.run(Relation<V> relation) Run one-class SVM.

Uses of OutlierResult in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial that return OutlierResult

Modifier and Type	Method and Description
OutlierResult	TrivialGeneratedOutlier.run(Database database)
OutlierResult	ByLabelOutlier.run(Database database)
OutlierResult	ByLabelOutlier.run(Relation<?> relation) Run the algorithm
OutlierResult	TrivialAllOutlier.run(Relation<?> relation) Run the actual algorithm.
OutlierResult	TrivialNoOutlier.run(Relation<?> relation) Run the actual algorithm.
OutlierResult	TrivialAverageCoordinateOutlier.run(Relation<? extends NumberVector> relation) Run the actual algorithm.
OutlierResult	TrivialGeneratedOutlier.run(Relation<Model> models, Relation<NumberVector> vecs, Relation<?> labels) Run the algorithm

Uses of OutlierResult in de.lmu.ifi.dbs.elki.application.greedyensemble

Methods in de.lmu.ifi.dbs.elki.application.greedyensemble with parameters of type OutlierResult

Modifier and Type	Method and Description
(package private) void	ComputeKNNOutlierScores.writeResult(java.io.PrintStream out, DBIDs ids, OutlierResult result, ScalingFunction scaling, java.lang.String label) Write a single output line.

Method parameters in de.lmu.ifi.dbs.elki.application.greedyensemble with type arguments of type OutlierResult

Modifier and Type	Method and Description
private void	ComputeKNNOutlierScores.runForEachK(java.lang.String prefix, int mink, int maxk, java.util.function.IntFunction<OutlierResult> runner, java.util.function.BiConsumer<java.lang.String,OutlierResult> out) Iterate over the k range.
private void	ComputeKNNOutlierScores.runForEachK(java.lang.String prefix, int mink, int maxk, java.util.function.IntFunction<OutlierResult> runner, java.util.function.BiConsumer<java.lang.String,OutlierResult> out) Iterate over the k range.

Uses of OutlierResult in de.lmu.ifi.dbs.elki.evaluation.outlier

Methods in de.lmu.ifi.dbs.elki.evaluation.outlier with parameters of type OutlierResult

Modifier and Type	Method and Description
private OutlierROCCurve.ROCResult	OutlierROCCurve.computeROCResult(SetDBIDs positiveids, OutlierResult or)
protected JudgeOutlierScores.ScoreResult	JudgeOutlierScores.computeScore(DBIDs ids, DBIDs outlierIds, OutlierResult or) Evaluate a single outlier score result.
private OutlierSmROCCurve.SmROCResult	OutlierSmROCCurve.computeSmROCResult(SetDBIDs positiveids, OutlierResult or)
HistogramResult	ComputeOutlierHistogram.evaluateOutlierResult(Database database, OutlierResult or) Evaluate a single outlier result as histogram.
private EvaluationResult	OutlierRankingEvaluation.evaluateOutlierResult(int size, SetDBIDs positiveids, OutlierResult or)
private Clustering<Model>	OutlierThresholdClustering.split(OutlierResult or)

Uses of OutlierResult in de.lmu.ifi.dbs.elki.evaluation.scores.adapter

Constructors in de.lmu.ifi.dbs.elki.evaluation.scores.adapter with parameters of type OutlierResult

Constructor and Description
OutlierScoreAdapter(OutlierResult o) Constructor.

Uses of OutlierResult in de.lmu.ifi.dbs.elki.result

Methods in de.lmu.ifi.dbs.elki.result with parameters of type OutlierResult

Modifier and Type	Method and Description
private void	KMLOutputHandler.writeOutlierResult(javax.xml.stream.XMLStreamWriter xmlw, OutlierResult outlierResult, Database database)

Uses of OutlierResult in de.lmu.ifi.dbs.elki.result.outlier

Methods in de.lmu.ifi.dbs.elki.result.outlier that return types with arguments of type OutlierResult

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

Uses of OutlierResult in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Methods in de.lmu.ifi.dbs.elki.utilities.scaling.outlier with parameters of type OutlierResult

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

Uses of OutlierResult in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier

Fields in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier declared as OutlierResult

Modifier and Type	Field and Description
protected OutlierResult	BubbleVisualization.Instance.result The outlier result to visualize

Uses of OutlierResult in tutorial.outlier

Methods in tutorial.outlier that return OutlierResult

Modifier and Type	Method and Description
OutlierResult	ODIN.run(Database database, Relation<O> relation) Run the ODIN algorithm Tutorial note: the signature of this method depends on the types that we requested in the ODIN.getInputTypeRestriction() method.
OutlierResult	DistanceStddevOutlier.run(Database database, Relation<O> relation) Run the outlier detection algorithm