Package elki.evaluation.outlier

Class ComputeOutlierHistogram

java.lang.Object

elki.evaluation.outlier.ComputeOutlierHistogram

All Implemented Interfaces:

Evaluator, ResultProcessor

public class ComputeOutlierHistogram
extends java.lang.Object
implements Evaluator

Compute a Histogram to evaluate a ranking algorithm.

The parameter -hist.positive specifies the class label of "positive" hits.

Since:

0.3

Author:

Lisa Reichert, Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	ComputeOutlierHistogram.Par	Parameterization class.

Field Summary

Fields

Modifier and Type	Field	Description
private int	bins	Number of bins
private java.util.regex.Pattern	positiveClassName	Stores the "positive" class.
private ScalingFunction	scaling	Scaling function to use
private boolean	splitfreq	Flag to make split frequencies

Constructor Summary

Constructors

Constructor	Description
ComputeOutlierHistogram(java.util.regex.Pattern positive_class_name, int bins, ScalingFunction scaling, boolean splitfreq)	Constructor.

Method Summary

Modifier and Type	Method	Description
HistogramResult	evaluateOutlierResult(Database database, OutlierResult or)	Evaluate a single outlier result as histogram.
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

positiveClassName

private java.util.regex.Pattern positiveClassName

Stores the "positive" class.

bins

private int bins

Number of bins

scaling

private ScalingFunction scaling

Scaling function to use

splitfreq

private boolean splitfreq

Flag to make split frequencies

Constructor Detail

ComputeOutlierHistogram

public ComputeOutlierHistogram(java.util.regex.Pattern positive_class_name,
                               int bins,
                               ScalingFunction scaling,
                               boolean splitfreq)

Constructor.

Parameters:

positive_class_name - Class name

bins - Bins

scaling - Scaling

splitfreq - Scale inlier and outlier frequencies independently

Method Detail

evaluateOutlierResult

public HistogramResult evaluateOutlierResult(Database database,
                                             OutlierResult or)

Evaluate a single outlier result as histogram.

Parameters:

database - Database to process

or - Outlier result

Returns:

Result

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.