de.lmu.ifi.dbs.elki.result.outlier
Class ProbabilisticOutlierScore

java.lang.Object
  de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore

All Implemented Interfaces:

OutlierScoreMeta, Result

public class ProbabilisticOutlierScore
extends Object
implements OutlierScoreMeta

Outlier score that is a probability value in the range 0.0 - 1.0 But the baseline may be different from 0.0!

Field Summary

private double	actualMaximum Actual maximum seen, if given by the algorithm.
private double	actualMinimum Actual minimum seen, if given by the algorithm.
private double	theoreticalBaseline Theoretical baseline specified by the algorithm.

Constructor Summary

ProbabilisticOutlierScore()
Default constructor.

ProbabilisticOutlierScore(double theoreticalBaseline)
Constructor with baseline only.

ProbabilisticOutlierScore(double actualMinimum, double actualMaximum)
Constructor with actual values, and a baseline of 0.0

ProbabilisticOutlierScore(double actualMinimum, double actualMaximum, double theoreticalBaseline)
Full constructor.

Method Summary

double	getActualMaximum() Get the actual maximum of the value range.
double	getActualMinimum() Get the actual minimum of the value range.
String	getLongName() A "pretty" name for the result, for use in titles, captions and menus.
String	getShortName() A short name for the result, useful for file names.
double	getTheoreticalBaseline() Get the theoretical baseline of the value range.
double	getTheoreticalMaximum() Get the theoretical maximum of the value range.
double	getTheoreticalMinimum() Get the theoretical minimum of the value range.
double	normalizeScore(double value) Return a normalized value of the outlier score.

Methods inherited from class java.lang.Object

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

Field Detail

actualMinimum

private double actualMinimum

Actual minimum seen, if given by the algorithm.

actualMaximum

private double actualMaximum

Actual maximum seen, if given by the algorithm.

theoreticalBaseline

private double theoreticalBaseline

Theoretical baseline specified by the algorithm. Defaults to 0.0 in short constructor.

Constructor Detail

ProbabilisticOutlierScore

public ProbabilisticOutlierScore()

Default constructor. No actual values, Baseline 0.0

ProbabilisticOutlierScore

public ProbabilisticOutlierScore(double theoreticalBaseline)

Constructor with baseline only.

Parameters:

theoreticalBaseline - Baseline

ProbabilisticOutlierScore

public ProbabilisticOutlierScore(double actualMinimum,
                                 double actualMaximum)

Constructor with actual values, and a baseline of 0.0

Parameters:

actualMinimum - actual minimum seen

actualMaximum - actual maximum seen

ProbabilisticOutlierScore

public ProbabilisticOutlierScore(double actualMinimum,
                                 double actualMaximum,
                                 double theoreticalBaseline)

Full constructor.

Parameters:

actualMinimum - actual minimum seen

actualMaximum - actual maximum seen

theoreticalBaseline - theoretical baseline

Method Detail

getActualMinimum

public double getActualMinimum()

Description copied from interface: OutlierScoreMeta

Get the actual minimum of the value range.

Specified by:

getActualMinimum in interface OutlierScoreMeta

Returns:

minimum or Double.NaN

getActualMaximum

public double getActualMaximum()

Description copied from interface: OutlierScoreMeta

Get the actual maximum of the value range.

Specified by:

getActualMaximum in interface OutlierScoreMeta

Returns:

maximum or Double.NaN

getTheoreticalBaseline

public double getTheoreticalBaseline()

Description copied from interface: OutlierScoreMeta

Get the theoretical baseline of the value range. It will be common to see Double.POSITIVE_INFINITY here.

Specified by:

getTheoreticalBaseline in interface OutlierScoreMeta

Returns:

theoretical baseline or Double.NaN

getTheoreticalMaximum

public double getTheoreticalMaximum()

Description copied from interface: OutlierScoreMeta

Get the theoretical maximum of the value range. This value may be Double.NEGATIVE_INFINITY or Double.NaN.

Specified by:

getTheoreticalMaximum in interface OutlierScoreMeta

Returns:

theoretical maximum or Double.NaN

getTheoreticalMinimum

public double getTheoreticalMinimum()

Description copied from interface: OutlierScoreMeta

Get the theoretical minimum of the value range.

Specified by:

getTheoreticalMinimum in interface OutlierScoreMeta

Returns:

theoretical minimum or Double.NaN

normalizeScore

public double normalizeScore(double value)

Description copied from interface: OutlierScoreMeta

Return a normalized value of the outlier score.

Specified by:

normalizeScore in interface OutlierScoreMeta

Parameters:

value - outlier score

Returns:

Normalized value (in 0.0-1.0)

getLongName

public String getLongName()

Description copied from interface: Result

A "pretty" name for the result, for use in titles, captions and menus.

Specified by:

getLongName in interface Result

Returns:

result name

getShortName

public String getShortName()

Description copied from interface: Result

A short name for the result, useful for file names.

Specified by:

getShortName in interface Result

Returns:

result name