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.lof	LOF family of outlier detection algorithms.
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.
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.histogram	Functionality for the evaluation of algorithms using histograms.
de.lmu.ifi.dbs.elki.evaluation.outlier	Evaluate an outlier score using a misclassification based cost model.
de.lmu.ifi.dbs.elki.evaluation.roc	Evaluation of rankings using ROC AUC (Receiver Operation Characteristics - Area Under Curve)
de.lmu.ifi.dbs.elki.result	Result types, representation and handling
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

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	ABOD.getFastRanking(Relation<V> relation) Main part of the algorithm.
OutlierResult	ABOD.getRanking(Relation<V> relation) Main part of the algorithm.
OutlierResult	OutlierAlgorithm.run(Database database)
OutlierResult	ODIN.run(Database database, Relation<O> relation) Run the ODIN algorithm
OutlierResult	KNNOutlier.run(Database database, Relation<O> relation) Runs the algorithm in the timed evaluation part.
OutlierResult	OPTICSOF.run(Database database, Relation<O> relation) Perform OPTICS-based outlier detection.
OutlierResult	AbstractDBOutlier.run(Database database, Relation<O> relation) Runs the algorithm in the timed evaluation part.
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	AggarwalYuEvolutionary.run(Database database, Relation<V> relation) Performs the evolutionary algorithm on the given database.
OutlierResult	ReferenceBasedOutlierDetection.run(Database database, Relation<V> relation) Run the algorithm on the given relation.
OutlierResult	SimpleCOP.run(Database database, Relation<V> data)
OutlierResult	EMOutlier.run(Database database, Relation<V> relation) Runs the algorithm in the timed evaluation part.
OutlierResult	ABOD.run(Relation<V> relation) Run ABOD on the data set.
OutlierResult	COP.run(Relation<V> relation) Process a single relation.
OutlierResult	GaussianUniformMixture.run(Relation<V> relation) Run the algorithm
OutlierResult	AggarwalYuNaive.run(Relation<V> relation) Run the algorithm on the given relation.
OutlierResult	GaussianModel.run(Relation<V> 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	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, D>, de.lmu.ifi.dbs.elki.database.query.knn.KNNQuery<O, D>, de.lmu.ifi.dbs.elki.logging.progress.StepProgress).
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	LOCI.run(Database database, Relation<O> relation) Run the algorithm
OutlierResult	LDF.run(Database database, Relation<O> relation) Run the naive kernel density LOF algorithm.
OutlierResult	SimplifiedLOF.run(Database database, Relation<O> relation) Run the Simple LOF algorithm.
OutlierResult	LoOP.run(Database database, Relation<O> relation) Performs the LoOP algorithm on the given database.
OutlierResult	INFLO.run(Database database, Relation<O> relation) Run the algorithm
OutlierResult	ALOCI.run(Database database, Relation<O> relation)
OutlierResult	LOF.run(Database database, Relation<O> relation) Performs the Generalized LOF_SCORE algorithm on the given database.
OutlierResult	LDOF.run(Database database, Relation<O> relation) Run the algorithm
OutlierResult	SimpleKernelDensityLOF.run(Database database, Relation<O> relation) Run the naive kernel density LOF algorithm.

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

Constructor and Description
FlexibleLOF.LOFResult(OutlierResult result, KNNQuery<O,D> kNNRefer, KNNQuery<O,D> 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.meta

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

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

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	SOD.run(Relation<V> relation) Performs the SOD algorithm on the given database.
OutlierResult	OUTRES.run(Relation<V> relation) Main loop for OUTRES

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	ByLabelOutlier.run(Database database)
OutlierResult	TrivialGeneratedOutlier.run(Database database)
OutlierResult	ByLabelOutlier.run(Relation<?> relation) Run the algorithm
OutlierResult	TrivialNoOutlier.run(Relation<?> relation) Run the actual algorithm.
OutlierResult	TrivialAllOutlier.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(PrintStream out, DBIDs ids, OutlierResult result, ScalingFunction scaling, String label) Write a single output line.

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

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

Modifier and Type	Method and Description
HistogramResult<DoubleVector>	ComputeOutlierHistogram.evaluateOutlierResult(Database database, OutlierResult or) Evaluate a single outlier result as histogram.

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(int size, 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)
private Clustering<Model>	OutlierThresholdClustering.split(OutlierResult or)

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

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

Constructor and Description
ROC.OutlierScoreAdapter(OutlierResult o) Constructor.

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

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

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

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

Modifier and Type	Method and Description
private void	KMLOutputHandler.writeKMLData(XMLStreamWriter xmlw, OutlierResult outlierResult, Database database)

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
private static double	MultiplicativeInverseScaling.getScaleValue(OutlierResult or) Compute the scaling value in a linear scan over the annotation.
void	MinusLogGammaScaling.prepare(OutlierResult or)
void	SqrtStandardDeviationScaling.prepare(OutlierResult or)
void	OutlierGammaScaling.prepare(OutlierResult or)
void	OutlierSqrtScaling.prepare(OutlierResult or)
void	MultiplicativeInverseScaling.prepare(OutlierResult or)
void	MinusLogStandardDeviationScaling.prepare(OutlierResult or)
void	MixtureModelOutlierScalingFunction.prepare(OutlierResult or)
void	OutlierScalingFunction.prepare(OutlierResult or) Prepare is called once for each data set, before getScaled() will be called.
void	StandardDeviationScaling.prepare(OutlierResult or)
void	TopKOutlierScaling.prepare(OutlierResult or)
void	OutlierMinusLogScaling.prepare(OutlierResult or)
void	HeDESNormalizationOutlierScaling.prepare(OutlierResult or)
void	SigmoidOutlierScalingFunction.prepare(OutlierResult or)
void	OutlierLinearScaling.prepare(OutlierResult or)
void	RankingPseudoOutlierScaling.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