
@Reference(authors="H.-P. Kriegel, P. Kr\u00f6ger, E. Schubert, A. Zimek", title="Interpreting and Unifying Outlier Scores", booktitle="Proc. 11th SIAM International Conference on Data Mining (SDM), Mesa, AZ, 2011", url="http://siam.omnibooksonline.com/2011datamining/data/papers/018.pdf") public class OutlierMinusLogScaling extends Object implements OutlierScalingFunction
ABOD, but see
 MinusLogStandardDeviationScaling and MinusLogGammaScaling for
 more advanced scalings for this algorithm.| Modifier and Type | Field and Description | 
|---|---|
| (package private) double | maxMaximum value seen, set by  prepare(de.lmu.ifi.dbs.elki.result.outlier.OutlierResult) | 
| (package private) double | mlogmaxMaximum -log value seen, set by  prepare(de.lmu.ifi.dbs.elki.result.outlier.OutlierResult) | 
| Constructor and Description | 
|---|
| OutlierMinusLogScaling()Constructor, adhering to
  Parameterizable | 
| Modifier and Type | Method and Description | 
|---|---|
| double | getMax()Get maximum resulting value. | 
| double | getMin()Get minimum resulting value. | 
| double | getScaled(double value)Transform a given value using the scaling function. | 
| void | prepare(OutlierResult or)Prepare is called once for each data set, before getScaled() will be
 called. | 
double max
prepare(de.lmu.ifi.dbs.elki.result.outlier.OutlierResult)double mlogmax
prepare(de.lmu.ifi.dbs.elki.result.outlier.OutlierResult)public OutlierMinusLogScaling()
Parameterizablepublic double getScaled(double value)
ScalingFunctiongetScaled in interface ScalingFunctionvalue - Original valuepublic double getMin()
ScalingFunctionDouble.NaN or
 Double.NEGATIVE_INFINITY.getMin in interface ScalingFunctionpublic double getMax()
ScalingFunctionDouble.NaN or
 Double.POSITIVE_INFINITY.getMax in interface ScalingFunctionpublic void prepare(OutlierResult or)
OutlierScalingFunctionprepare in interface OutlierScalingFunctionor - Outlier result to use