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