de.lmu.ifi.dbs.elki.algorithm.outlier.clustering

Class SilhouetteOutlierDetection<O>

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<R>

de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm<O,OutlierResult>

de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.SilhouetteOutlierDetection<O>

Type Parameters:

O - Object type

All Implemented Interfaces:

Algorithm, DistanceBasedAlgorithm<O>, OutlierAlgorithm

@Reference(authors="P. J. Rousseeuw",
           title="Silhouettes: A graphical aid to the interpretation and validation of cluster analysis",
           booktitle="Journal of Computational and Applied Mathematics, Volume 20",
           url="https://doi.org/10.1016/0377-0427(87)90125-7",
           bibkey="doi:10.1016/0377-04278790125-7")
public class SilhouetteOutlierDetection<O>
extends AbstractDistanceBasedAlgorithm<O,OutlierResult>
implements OutlierAlgorithm

Outlier detection by using the Silhouette Coefficients.

Silhouette values are computed as by Rousseeuw and then used as outlier scores. To cite this outlier detection approach, please cite the ELKI version you used (use the ELKI publication list for citation information and BibTeX templates).

Since:

0.7.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SilhouetteOutlierDetection.Parameterizer<O> Parameterizer.

Field Summary

Fields

Modifier and Type	Field and Description
(package private) ClusteringAlgorithm<?>	clusterer Clustering algorithm to use
private static Logging	LOG Class logger.
private NoiseHandling	noiseOption Option for noise handling.

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

ALGORITHM_ID

Fields inherited from interface de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm

DISTANCE_FUNCTION_ID

Constructor Summary

Constructors

Constructor and Description
SilhouetteOutlierDetection(DistanceFunction<? super O> distanceFunction, ClusteringAlgorithm<?> clusterer, NoiseHandling noiseOption) Constructor.

Method Summary

Modifier and Type	Method and Description
TypeInformation[]	getInputTypeRestriction() Get the input type restriction used for negotiating the data query.
protected Logging	getLogger() Get the (STATIC) logger for this class.
OutlierResult	run(Database database) Runs the algorithm.

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm

getDistanceFunction

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

Class logger.

clusterer

ClusteringAlgorithm<?> clusterer

Clustering algorithm to use

noiseOption

private NoiseHandling noiseOption

Option for noise handling.

Constructor Detail

SilhouetteOutlierDetection

public SilhouetteOutlierDetection(DistanceFunction<? super O> distanceFunction,
                                  ClusteringAlgorithm<?> clusterer,
                                  NoiseHandling noiseOption)

Constructor.

Parameters:

distanceFunction - Distance function

clusterer - Clustering algorithm

noiseOption - Noise handling option.

Method Detail

run

public OutlierResult run(Database database)

Description copied from interface: Algorithm

Runs the algorithm.

Specified by:

run in interface Algorithm

Specified by:

run in interface OutlierAlgorithm

Overrides:

run in class AbstractAlgorithm<OutlierResult>

Parameters:

database - the database to run the algorithm on

Returns:

the Result computed by this algorithm

getInputTypeRestriction

public TypeInformation[] getInputTypeRestriction()

Description copied from class: AbstractAlgorithm

Get the input type restriction used for negotiating the data query.

Specified by:

getInputTypeRestriction in interface Algorithm

Specified by:

getInputTypeRestriction in class AbstractAlgorithm<OutlierResult>

Returns:

Type restriction

getLogger

protected Logging getLogger()

Description copied from class: AbstractAlgorithm

Get the (STATIC) logger for this class.

Specified by:

getLogger in class AbstractAlgorithm<OutlierResult>

Returns:

the static logger