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

Packages that use OutlierResult

de.lmu.ifi.dbs.elki.algorithm.outlier	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.trivial	Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
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.vis2d	Visualizers based on 2D projections.

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

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

private OutlierResult

LOF.LOFResult.result The result of the run of the LOF algorithm.

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

OutlierResult	ABOD.getFastRanking(Relation<V> relation, int k, int sampleSize) Main part of the algorithm.
OutlierResult	ABOD.getRanking(Relation<V> relation, int k) Main part of the algorithm.
OutlierResult	LOF.LOFResult.getResult()
OutlierResult	INFLO.run(Database database)
OutlierResult	LOCI.run(Database database) Runs the algorithm in the timed evaluation part.
OutlierResult	OutlierAlgorithm.run(Database database)
OutlierResult	KNNOutlier.run(Database database, Relation<O> relation) Runs the algorithm in the timed evaluation part.
OutlierResult	LoOP.run(Database database, Relation<O> relation) Performs the LoOP algorithm on the given database.
OutlierResult	AbstractDBOutlier.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	LDOF.run(Database database, Relation<O> relation)
OutlierResult	KNNWeightOutlier.run(Database database, Relation<O> relation) Runs the algorithm in the timed evaluation part.
OutlierResult	ABOD.run(Database database, Relation<V> relation) Run ABOD on the data set
OutlierResult	EMOutlier.run(Database database, Relation<V> 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	OnlineLOF.run(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	LOF.run(Relation<O> relation) Performs the Generalized LOF_SCORE algorithm on the given database by calling #doRunInTime(Database).
OutlierResult	GaussianUniformMixture.run(Relation<V> relation)
OutlierResult	ReferenceBasedOutlierDetection.run(Relation<V> relation) Run the algorithm on the given relation.
OutlierResult	GaussianModel.run(Relation<V> relation)
OutlierResult	AggarwalYuNaive.run(Relation<V> relation) Run the algorithm on the given relation.
OutlierResult	SOD.run(Relation<V> relation) Performs the SOD algorithm on the given database.

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

LOF.LOFResult(OutlierResult result, KNNQuery<O,D> kNNRefer, KNNQuery<O,D> kNNReach, WritableDataStore<Double> lrds, WritableDataStore<Double> lofs)
Encapsulates information generated during a run of the LOF 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

private OutlierResult	RescaleMetaOutlierAlgorithm.getOutlierResult(Result result) Find an OutlierResult to work with.
OutlierResult	RescaleMetaOutlierAlgorithm.run(Database database)
OutlierResult	ExternalDoubleOutlierScore.run(Database database, Relation<?> relation) Run the algorithm.
OutlierResult	FeatureBagging.run(Relation<NumberVector<?,?>> relation) Run the algorithm on a data set.

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

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	SLOM.run(Database database, Relation<N> spatial, Relation<O> relation)
OutlierResult	SOF.run(Database database, Relation<N> spatial, Relation<O> relation) The main run 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	CTLuMoranScatterplotOutlier.run(Relation<N> nrel, Relation<? extends NumberVector<?,?>> relation) Main method
OutlierResult	CTLuMedianAlgorithm.run(Relation<N> nrel, Relation<? extends NumberVector<?,?>> relation) Main method
OutlierResult	CTLuMeanMultipleAttributes.run(Relation<N> spatial, Relation<O> attributes)
OutlierResult	CTLuMedianMultipleAttributes.run(Relation<N> spatial, Relation<O> attributes) Run the algorithm
OutlierResult	CTLuGLSBackwardSearchAlgorithm.run(Relation<V> relationx, Relation<? extends NumberVector<?,?>> relationy) Run the algorithm

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

OutlierResult	ByLabelOutlier.run(Database database)
OutlierResult	TrivialNoOutlier.run(Relation<?> relation) Run the actual algorithm.
OutlierResult	ByLabelOutlier.run(Relation<?> relation) Run the algorithm
OutlierResult	TrivialAllOutlier.run(Relation<?> relation) Run the actual algorithm.

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

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

protected JudgeOutlierScores.ScoreResult

JudgeOutlierScores.computeScore(DBIDs ids, DBIDs outlierIds, OutlierResult or) Evaluate a single outlier score result.

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

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

private ComputeROCCurve.ROCResult

ComputeROCCurve.computeROCResult(int size, SetDBIDs positiveids, OutlierResult or)

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

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

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

private void

KMLOutputHandler.writeKMLData(XMLStreamWriter out, 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

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

Uses of OutlierResult in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d

Fields in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d declared as OutlierResult

protected OutlierResult

BubbleVisualization.result The outlier result to visualize