Uses of Interface
de.lmu.ifi.dbs.elki.utilities.scaling.ScalingFunction

Packages that use ScalingFunction

Package	Description
de.lmu.ifi.dbs.elki.algorithm.outlier.meta	Meta outlier detection algorithms: external scores, score rescaling.
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.similaritymatrix	Render a distance matrix to visualize a clustering-distance-combination.
de.lmu.ifi.dbs.elki.utilities.scaling	Scaling functions: linear, logarithmic, gamma, clipping, ...
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.

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

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

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

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

Constructor and Description
ExternalDoubleOutlierScore(File file, Pattern idpattern, Pattern scorepattern, boolean inverted, ScalingFunction scaling) Constructor.
RescaleMetaOutlierAlgorithm(Algorithm algorithm, ScalingFunction scaling) Constructor.

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

Fields in de.lmu.ifi.dbs.elki.application.greedyensemble declared as ScalingFunction

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

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

Modifier and Type	Method and 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(PrintStream out, DBIDs ids, OutlierResult result, ScalingFunction scaling, String label) Write a single output line.

Constructors in de.lmu.ifi.dbs.elki.application.greedyensemble with parameters of type ScalingFunction

Constructor and Description
ComputeKNNOutlierScores(InputStep inputstep, DistanceFunction<? super O> distf, int startk, int stepk, int maxk, ByLabelOutlier bylabel, File outfile, ScalingFunction scaling, Pattern disable) 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 de.lmu.ifi.dbs.elki.evaluation.histogram

Fields in de.lmu.ifi.dbs.elki.evaluation.histogram declared as ScalingFunction

Modifier and Type	Field and Description
private ScalingFunction	ComputeOutlierHistogram.scaling Scaling function to use
protected ScalingFunction	ComputeOutlierHistogram.Parameterizer.scaling Scaling function to use

Constructors in de.lmu.ifi.dbs.elki.evaluation.histogram with parameters of type ScalingFunction

Constructor and Description
ComputeOutlierHistogram(Pattern positive_class_name, int bins, ScalingFunction scaling, boolean splitfreq) Constructor.

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

Fields in de.lmu.ifi.dbs.elki.evaluation.outlier declared as ScalingFunction

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

Constructors in de.lmu.ifi.dbs.elki.evaluation.outlier with parameters of type ScalingFunction

Constructor and Description
JudgeOutlierScores(Pattern positive_class_name, ScalingFunction scaling) Constructor.
OutlierThresholdClustering(ScalingFunction scaling, double[] threshold) Constructor.

Uses of ScalingFunction in de.lmu.ifi.dbs.elki.evaluation.similaritymatrix

Fields in de.lmu.ifi.dbs.elki.evaluation.similaritymatrix declared as ScalingFunction

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

Constructors in de.lmu.ifi.dbs.elki.evaluation.similaritymatrix with parameters of type ScalingFunction

Constructor and Description
ComputeSimilarityMatrixImage(DistanceFunction<? super O> distanceFunction, ScalingFunction scaling, boolean skipzero) Constructor.

Uses of ScalingFunction in de.lmu.ifi.dbs.elki.utilities.scaling

Subinterfaces of ScalingFunction in de.lmu.ifi.dbs.elki.utilities.scaling

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

Classes in de.lmu.ifi.dbs.elki.utilities.scaling that implement ScalingFunction

Modifier and Type	Class and 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 de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Subinterfaces of ScalingFunction in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

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

Classes in de.lmu.ifi.dbs.elki.utilities.scaling.outlier that implement ScalingFunction

Modifier and Type	Class and 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	MixtureModelOutlierScalingFunction 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 basically 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 -1 * Math.log(x) Useful for example for scaling ABOD, but see MinusLogStandardDeviationScaling and MinusLogGammaScaling for more advanced scalings for this algorithm.
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	SigmoidOutlierScalingFunction 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 Reference: J.
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 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier

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

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