Uses of Interface
elki.utilities.scaling.ScalingFunction

Packages that use ScalingFunction

Package	Description
elki.application.greedyensemble	Greedy ensembles for outlier detection.
elki.evaluation.outlier	Evaluate an outlier score using a misclassification based cost model.
elki.evaluation.similaritymatrix	Render a distance matrix to visualize a clustering-distance-combination.
elki.outlier.meta	Meta outlier detection algorithms: external scores, score rescaling.
elki.utilities.scaling	Scaling functions: linear, logarithmic, gamma, clipping, ...
elki.utilities.scaling.outlier	Scaling of outlier scores, that require a statistical analysis of the occurring values.
elki.visualization.visualizers.scatterplot.outlier	Visualizers for outlier scores based on 2D projections.

Uses of ScalingFunction in elki.application.greedyensemble

Fields in elki.application.greedyensemble declared as ScalingFunction

Modifier and Type	Field	Description
(package private) ScalingFunction	GreedyEnsembleExperiment.Par.prescaling	Outlier scaling to apply during preprocessing.
(package private) ScalingFunction	GreedyEnsembleExperiment.prescaling	Outlier scaling to apply during preprocessing.
private ScalingFunction	VisualizePairwiseGainMatrix.Par.prescaling	Outlier scaling to apply during preprocessing.
private ScalingFunction	VisualizePairwiseGainMatrix.prescaling	Outlier scaling to apply during preprocessing.
(package private) ScalingFunction	ComputeKNNOutlierScores.Par.scaling	Scaling function.
(package private) ScalingFunction	ComputeKNNOutlierScores.scaling	Scaling function.
(package private) ScalingFunction	GreedyEnsembleExperiment.Par.scaling	Outlier scaling to apply to constructed ensembles.
(package private) ScalingFunction	GreedyEnsembleExperiment.scaling	Outlier scaling to apply to constructed ensembles.

Methods in elki.application.greedyensemble with parameters of type ScalingFunction

Modifier and Type	Method	Description
static Relation<NumberVector>	GreedyEnsembleExperiment.applyPrescaling(ScalingFunction scaling, Relation<NumberVector> relation, DBIDs skip)	Prescale each vector (except when in skip) with the given scaling function.
private static void	GreedyEnsembleExperiment.applyScaling(double[] raw, ScalingFunction scaling)
(package private) void	ComputeKNNOutlierScores.writeResult(java.lang.Appendable out, DBIDs ids, OutlierResult result, ScalingFunction scaling, java.lang.String label)	Write a single output line.

Constructors in elki.application.greedyensemble with parameters of type ScalingFunction

Constructor	Description
ComputeKNNOutlierScores(InputStep inputstep, Distance<? super O> distance, IntGenerator krange, ByLabelOutlier bylabel, java.nio.file.Path outfile, ScalingFunction scaling, java.util.regex.Pattern disable, int ksquarestop, long timelimit)	Constructor.
GreedyEnsembleExperiment(InputStep inputstep, EnsembleVoting voting, GreedyEnsembleExperiment.Distance distance, ScalingFunction prescaling, ScalingFunction scaling, double rate)	Constructor.
VisualizePairwiseGainMatrix(InputStep inputstep, ScalingFunction prescaling, EnsembleVoting voting, VisualizerParameterizer vispar)	Constructor.

Uses of ScalingFunction in elki.evaluation.outlier

Fields in elki.evaluation.outlier declared as ScalingFunction

Modifier and Type	Field	Description
protected ScalingFunction	ComputeOutlierHistogram.Par.scaling	Scaling function to use
private ScalingFunction	ComputeOutlierHistogram.scaling	Scaling function to use
private ScalingFunction	JudgeOutlierScores.Par.scaling	Scaling function to use
private ScalingFunction	JudgeOutlierScores.scaling	Scaling function to use
(package private) ScalingFunction	OutlierThresholdClustering.Par.scaling	Scaling function to use
(package private) ScalingFunction	OutlierThresholdClustering.scaling	Scaling function to use

Constructors in elki.evaluation.outlier with parameters of type ScalingFunction

Constructor	Description
ComputeOutlierHistogram(java.util.regex.Pattern positive_class_name, int bins, ScalingFunction scaling, boolean splitfreq)	Constructor.
JudgeOutlierScores(java.util.regex.Pattern positive_class_name, ScalingFunction scaling)	Constructor.
OutlierThresholdClustering(ScalingFunction scaling, double[] threshold)	Constructor.

Uses of ScalingFunction in elki.evaluation.similaritymatrix

Fields in elki.evaluation.similaritymatrix declared as ScalingFunction

Modifier and Type	Field	Description
private ScalingFunction	ComputeSimilarityMatrixImage.Par.scaling	Scaling function to use
private ScalingFunction	ComputeSimilarityMatrixImage.scaling	Scaling function to use

Constructors in elki.evaluation.similaritymatrix with parameters of type ScalingFunction

Constructor	Description
ComputeSimilarityMatrixImage(Distance<? super O> distance, ScalingFunction scaling, boolean skipzero)	Constructor.

Uses of ScalingFunction in elki.outlier.meta

Fields in elki.outlier.meta declared as ScalingFunction

Modifier and Type	Field	Description
private ScalingFunction	ExternalDoubleOutlierScore.Par.scaling	Scaling function to use
private ScalingFunction	ExternalDoubleOutlierScore.scaling	Scaling function to use
private ScalingFunction	RescaleMetaOutlierAlgorithm.Par.scaling	Scaling function to use
private ScalingFunction	RescaleMetaOutlierAlgorithm.scaling	Scaling function to use

Constructors in elki.outlier.meta with parameters of type ScalingFunction

Constructor	Description
ExternalDoubleOutlierScore(java.net.URI file, java.util.regex.Pattern idpattern, java.util.regex.Pattern scorepattern, boolean inverted, ScalingFunction scaling)	Constructor.
RescaleMetaOutlierAlgorithm(Algorithm algorithm, ScalingFunction scaling)	Constructor.

Uses of ScalingFunction in elki.utilities.scaling

Subinterfaces of ScalingFunction in elki.utilities.scaling

Modifier and Type	Interface	Description
interface	StaticScalingFunction	Interface for Scaling functions that do NOT depend on analyzing the data set.

Classes in elki.utilities.scaling that implement ScalingFunction

Modifier and Type	Class	Description
class	ClipScaling	Scale implementing a simple clipping.
class	GammaScaling	Non-linear scaling function using a Gamma curve.
class	IdentityScaling	The trivial "identity" scaling function.
class	LinearScaling	Simple linear scaling function.
class	MinusLogScaling	Scaling function to invert values by computing -1 * Math.log(x)

Uses of ScalingFunction in elki.utilities.scaling.outlier

Subinterfaces of ScalingFunction in elki.utilities.scaling.outlier

Modifier and Type	Interface	Description
interface	OutlierScaling	Interface for scaling functions used by Outlier evaluation such as Histograms and visualization.

Classes in elki.utilities.scaling.outlier that implement ScalingFunction

Modifier and Type	Class	Description
class	COPOutlierScaling	CDF based outlier score scaling.
class	HeDESNormalizationOutlierScaling	Normalization used by HeDES
class	LogRankingPseudoOutlierScaling	This is a pseudo outlier scoring obtained by only considering the ranks of the objects.
class	MinusLogGammaScaling	Scaling that can map arbitrary values to a probability in the range of [0:1], by assuming a Gamma distribution on the data and evaluating the Gamma CDF.
class	MinusLogStandardDeviationScaling	Scaling that can map arbitrary values to a probability in the range of [0:1].
class	MixtureModelOutlierScaling	Tries to fit a mixture model (exponential for inliers and gaussian for outliers) to the outlier score distribution.
class	MultiplicativeInverseScaling	Scaling function to invert values by computing 1/x, but in a variation that maps the values to the [0:1] interval and avoiding division by 0.
class	OutlierGammaScaling	Scaling that can map arbitrary values to a probability in the range of [0:1] by assuming a Gamma distribution on the values.
class	OutlierLinearScaling	Scaling that can map arbitrary values to a value in the range of [0:1].
class	OutlierMinusLogScaling	Scaling function to invert values by computing -log(x)
class	OutlierSqrtScaling	Scaling that can map arbitrary positive values to a value in the range of [0:1].
class	RankingPseudoOutlierScaling	This is a pseudo outlier scoring obtained by only considering the ranks of the objects.
class	SigmoidOutlierScaling	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
class	SqrtStandardDeviationScaling	Scaling that can map arbitrary values to a probability in the range of [0:1].
class	StandardDeviationScaling	Scaling that can map arbitrary values to a probability in the range of [0:1].
class	TopKOutlierScaling	Outlier scaling function that only keeps the top k outliers.

Uses of ScalingFunction in elki.visualization.visualizers.scatterplot.outlier

Fields in elki.visualization.visualizers.scatterplot.outlier declared as ScalingFunction

Modifier and Type	Field	Description
protected ScalingFunction	BubbleVisualization.Par.scaling	Scaling function to use for Bubbles