Package elki.utilities.scaling.outlier

Interface OutlierScaling

All Superinterfaces:

ScalingFunction

All Known Implementing Classes:

COPOutlierScaling, HeDESNormalizationOutlierScaling, LogRankingPseudoOutlierScaling, MinusLogGammaScaling, MinusLogStandardDeviationScaling, MixtureModelOutlierScaling, MultiplicativeInverseScaling, OutlierGammaScaling, OutlierLinearScaling, OutlierMinusLogScaling, OutlierSqrtScaling, RankingPseudoOutlierScaling, SigmoidOutlierScaling, SqrtStandardDeviationScaling, StandardDeviationScaling, TopKOutlierScaling

public interface OutlierScaling
extends ScalingFunction

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

Since:

0.3

Author:

Erich Schubert

Method Summary

Modifier and Type	Method	Description
<A> void	prepare(A array, NumberArrayAdapter<?,A> adapter)	Prepare is called once for each data set, before getScaled() will be called.
void	prepare(OutlierResult or)	Prepare is called once for each data set, before getScaled() will be called.

Methods inherited from interface 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 outlier scores.

Parameters:

or - Outlier result to use

prepare

<A> void prepare(A array,
                 NumberArrayAdapter<?,A> adapter)

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 score array. The method using a full OutlierResult is preferred, as it will allow access to the metadata.

Parameters:

array - Data to process

adapter - Array adapter