Package elki.utilities.scaling.outlier
Scaling of outlier scores, that require a statistical analysis of the
occurring values.

Interface Summary Interface Description OutlierScaling Interface for scaling functions used by Outlier evaluation such as Histograms and visualization. 
Class Summary Class Description COPOutlierScaling CDF based outlier score scaling.COPOutlierScaling.Par Parameterization class.HeDESNormalizationOutlierScaling Normalization used by HeDESLogRankingPseudoOutlierScaling This is a pseudo outlier scoring obtained by only considering the ranks of the objects.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.MinusLogGammaScaling.Par Parameterization class.MinusLogStandardDeviationScaling Scaling that can map arbitrary values to a probability in the range of [0:1].MinusLogStandardDeviationScaling.Par Parameterization class.MixtureModelOutlierScaling Tries to fit a mixture model (exponential for inliers and gaussian for outliers) to the outlier score distribution.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.OutlierGammaScaling Scaling that can map arbitrary values to a probability in the range of [0:1] by assuming a Gamma distribution on the values.OutlierGammaScaling.Par Parameterization class.OutlierLinearScaling Scaling that can map arbitrary values to a value in the range of [0:1].OutlierLinearScaling.Par Parameterization class.OutlierMinusLogScaling Scaling function to invert values by computing log(x)OutlierSqrtScaling Scaling that can map arbitrary positive values to a value in the range of [0:1].OutlierSqrtScaling.Par Parameterization class.RankingPseudoOutlierScaling This is a pseudo outlier scoring obtained by only considering the ranks of the objects.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 1.0SqrtStandardDeviationScaling Scaling that can map arbitrary values to a probability in the range of [0:1].SqrtStandardDeviationScaling.Par Parameterization class.StandardDeviationScaling Scaling that can map arbitrary values to a probability in the range of [0:1].StandardDeviationScaling.Par Parameterization class.TopKOutlierScaling Outlier scaling function that only keeps the top k outliers.TopKOutlierScaling.Par Parameterization class.