Uses of Interface
de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierScaling

Packages that use OutlierScaling

Package	Description
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

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

Fields in de.lmu.ifi.dbs.elki.result declared as OutlierScaling

Modifier and Type	Field and Description
(package private) OutlierScaling	KMLOutputHandler.scaling Scaling function
(package private) OutlierScaling	KMLOutputHandler.Parameterizer.scaling Scaling function

Constructors in de.lmu.ifi.dbs.elki.result with parameters of type OutlierScaling

Constructor and Description
KMLOutputHandler(java.io.File filename, OutlierScaling scaling, boolean compat, boolean autoopen) Constructor.

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

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

Modifier and Type	Class and Description
class	COPOutlierScaling CDF based outlier score scaling.
class	HeDESNormalizationOutlierScaling Normalization used by HeDES Reference: H.
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) 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	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 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.