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

Class LogRankingPseudoOutlierScaling

java.lang.Object

de.lmu.ifi.dbs.elki.utilities.scaling.outlier.LogRankingPseudoOutlierScaling

All Implemented Interfaces:

OutlierScalingFunction, ScalingFunction

public class LogRankingPseudoOutlierScaling
extends Object
implements OutlierScalingFunction

This is a pseudo outlier scoring obtained by only considering the ranks of the objects. However, the ranks are not mapped linearly to scores, but using a normal distribution.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
private boolean	inverted Use inverted ranking
private double[]	scores The actual scores

Constructor Summary

Constructors

Constructor and Description
LogRankingPseudoOutlierScaling()

Method Summary

Methods

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.
<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 class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

scores

private double[] scores

The actual scores

inverted

private boolean inverted

Use inverted ranking

Constructor Detail

LogRankingPseudoOutlierScaling

public LogRankingPseudoOutlierScaling()

Method Detail

prepare

public void prepare(OutlierResult or)

Description copied from interface: OutlierScalingFunction

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.

Specified by:

prepare in interface OutlierScalingFunction

Parameters:

or - Outlier result to use

prepare

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

Description copied from interface: OutlierScalingFunction

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.

Specified by:

prepare in interface OutlierScalingFunction

Parameters:

array - Data to process

adapter - Array adapter

getMax

public double getMax()

Description copied from interface: ScalingFunction

Get maximum resulting value. May be Double.NaN or Double.POSITIVE_INFINITY.

Specified by:

getMax in interface ScalingFunction

Returns:

Maximum resulting value.

getMin

public double getMin()

Description copied from interface: ScalingFunction

Get minimum resulting value. May be Double.NaN or Double.NEGATIVE_INFINITY.

Specified by:

getMin in interface ScalingFunction

Returns:

Minimum resulting value.

getScaled

public double getScaled(double value)

Description copied from interface: ScalingFunction

Transform a given value using the scaling function.

Specified by:

getScaled in interface ScalingFunction

Parameters:

value - Original value

Returns:

Scaled value