Package elki.evaluation.outlier

Class OutlierPrecisionAtKCurve

java.lang.Object

elki.evaluation.outlier.OutlierPrecisionAtKCurve

All Implemented Interfaces:

Evaluator, ResultProcessor

public class OutlierPrecisionAtKCurve
extends java.lang.Object
implements Evaluator

Compute a curve containing the precision values for an outlier detection method.

Since:

0.5.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	OutlierPrecisionAtKCurve.Par	Parameterization class.
static class	OutlierPrecisionAtKCurve.PrecisionAtKCurve	Precision at K curve.

Field Summary

Fields

Modifier and Type	Field	Description
private static Logging	LOG	The logger.
private int	maxk	Maximum value for k
private java.util.regex.Pattern	positiveClassName	Stores the "positive" class.

Constructor Summary

Constructors

Constructor	Description
OutlierPrecisionAtKCurve(java.util.regex.Pattern positiveClassName, int maxk)	Constructor.

Method Summary

Modifier and Type	Method	Description
private XYCurve	computePrecisionResult(int size, SetDBIDs positiveids, DBIDs order)
void	processNewResult(java.lang.Object result)	Process a result.

Methods inherited from class java.lang.Object

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

Field Detail

LOG

private static final Logging LOG

The logger.

positiveClassName

private java.util.regex.Pattern positiveClassName

Stores the "positive" class.

maxk

private int maxk

Maximum value for k

Constructor Detail

OutlierPrecisionAtKCurve

public OutlierPrecisionAtKCurve(java.util.regex.Pattern positiveClassName,
                                int maxk)

Constructor.

Parameters:

positiveClassName - Pattern to recognize outliers

maxk - Maximum value for k

Method Detail

processNewResult

public void processNewResult(java.lang.Object result)

Description copied from interface: ResultProcessor

Process a result.

Specified by:

processNewResult in interface ResultProcessor

Parameters:

result - Newly added result subtree.

computePrecisionResult

private XYCurve computePrecisionResult(int size,
                                       SetDBIDs positiveids,
                                       DBIDs order)