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

Class OutlierMinusLogScaling

java.lang.Object

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

All Implemented Interfaces:

Parameterizable, OutlierScalingFunction, ScalingFunction

@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

Scaling function to invert values by computing -1 * Math.log(x) Useful for example for scaling ABOD, but see MinusLogStandardDeviationScaling and MinusLogGammaScaling for more advanced scalings for this algorithm.

Field Summary

Fields

Modifier and Type	Field and Description
(package private) double	max Maximum value seen, set by prepare(de.lmu.ifi.dbs.elki.result.outlier.OutlierResult)
(package private) double	mlogmax Maximum -log value seen, set by prepare(de.lmu.ifi.dbs.elki.result.outlier.OutlierResult)

Constructor Summary

Constructors

Constructor and Description
OutlierMinusLogScaling() Constructor, adhering to Parameterizable

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

max

double max

Maximum value seen, set by prepare(de.lmu.ifi.dbs.elki.result.outlier.OutlierResult)

mlogmax

double mlogmax

Maximum -log value seen, set by prepare(de.lmu.ifi.dbs.elki.result.outlier.OutlierResult)

Constructor Detail

OutlierMinusLogScaling

public OutlierMinusLogScaling()

Constructor, adhering to Parameterizable

Method Detail

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

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.

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.

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