de.lmu.ifi.dbs.elki.evaluation.outlier

Class ComputeOutlierHistogram

java.lang.Object

de.lmu.ifi.dbs.elki.evaluation.outlier.ComputeOutlierHistogram

All Implemented Interfaces:

Evaluator, ResultProcessor

@Alias(value="de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram")
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 and Description
static class	ComputeOutlierHistogram.Parameterizer Parameterization class.

Field Summary

Fields

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

Method Summary

Modifier and Type	Method and Description
HistogramResult	evaluateOutlierResult(Database database, OutlierResult or) Evaluate a single outlier result as histogram.
void	processNewResult(ResultHierarchy hier, Result newResult) 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(ResultHierarchy hier,
                             Result newResult)

Description copied from interface: ResultProcessor

Process a result.

Specified by:

processNewResult in interface ResultProcessor

Parameters:

hier - The base of the result tree.

newResult - Newly added result subtree.