Class Summary |
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. |
MinusLogStandardDeviationScaling |
Scaling that can map arbitrary values to a probability in the range of [0:1]. |
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. |
OutlierGammaScaling |
Scaling that can map arbitrary values to a probability in the range of [0:1]
by assuming a Gamma distribution on the values. |
OutlierLinearScaling |
Scaling that can map arbitrary values to a probability in the range of [0:1]. |
OutlierMinusLogScaling |
Scaling function to invert values by computing -1 * Math.log(x) |
OutlierSqrtScaling |
Scaling that can map arbitrary positive values to a value in the range of
[0:1]. |
SqrtStandardDeviationScaling |
Scaling that can map arbitrary values to a probability in the range of [0:1]. |
StandardDeviationScaling |
Scaling that can map arbitrary values to a probability in the range of [0:1]. |
TopKOutlierScaling |
Outlier scaling function that only keeps the top k outliers. |
Scaling of Outlier scores, that require a statistical analysis of the occurring values