## Uses of Interfacede.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.