class |
COPOutlierScaling |
CDF based outlier score scaling.
|
class |
HeDESNormalizationOutlierScaling |
Normalization used by HeDES
|
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)
|
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
|
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.
|