de.lmu.ifi.dbs.elki.utilities.scaling.outlier
Interface OutlierScalingFunction

All Superinterfaces:

InspectionUtilFrequentlyScanned, Parameterizable, ScalingFunction

All Known Implementing Classes:

HeDESNormalizationOutlierScaling, MinusLogGammaScaling, MinusLogStandardDeviationScaling, MixtureModelOutlierScalingFunction, MultiplicativeInverseScaling, OutlierGammaScaling, OutlierLinearScaling, OutlierMinusLogScaling, OutlierSqrtScaling, RankingPseudoOutlierScaling, SigmoidOutlierScalingFunction, SqrtStandardDeviationScaling, StandardDeviationScaling, TopKOutlierScaling

public interface OutlierScalingFunction
extends ScalingFunction

Interface for scaling functions used by Outlier evaluation such as Histograms and visualization. Make sure to invoke prepare(de.lmu.ifi.dbs.elki.result.outlier.OutlierResult) prior to applying the scaling function.

Method Summary

void	prepare(OutlierResult or) Prepare is called once for each data set, before getScaled() will be called.

Methods inherited from interface de.lmu.ifi.dbs.elki.utilities.scaling.ScalingFunction

getMax, getMin, getScaled

Method Detail

prepare

void prepare(OutlierResult or)

Prepare is called once for each data set, before getScaled() will be called. This function can be used to extract global parameters such as means, minimums or maximums from the Database, Result or Annotation.

Parameters:

or - Outlier result to use