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

Class SimpleCOP<V extends NumberVector>

java.lang.Object

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

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

de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP<V>

Type Parameters:

V - the type of NumberVector handled by this Algorithm

All Implemented Interfaces:

Algorithm, DistanceBasedAlgorithm<V>, OutlierAlgorithm

@Title(value="Simple COP: Correlation Outlier Probability")
@Reference(authors="Arthur Zimek",
           title="Correlation Clustering. PhD thesis, Chapter 18",
           booktitle="")
public class SimpleCOP<V extends NumberVector>
extends AbstractDistanceBasedAlgorithm<V,OutlierResult>
implements OutlierAlgorithm

Algorithm to compute local correlation outlier probability. This is the simpler, original version of COP, as published in

Arthur Zimek
Correlation Clustering.
PhD thesis, Chapter 18

which has then been refined to the method published as COP

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SimpleCOP.Parameterizer<V extends NumberVector> Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private DependencyDerivator<V>	dependencyDerivator Holds the object performing the dependency derivation
(package private) int	k Number of neighbors to be considered.
private static Logging	LOG The logger for this class.

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

DISTANCE_FUNCTION_ID

Constructor Summary

Constructors

Constructor and Description
SimpleCOP(DistanceFunction<? super V> distanceFunction, int k, PCAFilteredRunner pca) Constructor.

Method Summary

Methods

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, Relation<V> data)

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

getDistanceFunction

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

makeParameterDistanceFunction, run

Methods inherited from class java.lang.Object

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

Methods inherited from interface de.lmu.ifi.dbs.elki.algorithm.outlier.OutlierAlgorithm

run

Field Detail

LOG

private static final Logging LOG

The logger for this class.

k

int k

Number of neighbors to be considered.

dependencyDerivator

private DependencyDerivator<V extends NumberVector> dependencyDerivator

Holds the object performing the dependency derivation

Constructor Detail

SimpleCOP

public SimpleCOP(DistanceFunction<? super V> distanceFunction,
         int k,
         PCAFilteredRunner pca)

Constructor.

Parameters:

distanceFunction - Distance function

k - k Parameter

pca - PCA runner-

Method Detail

run

public OutlierResult run(Database database,
                Relation<V> data)
                  throws IllegalStateException

Throws:

IllegalStateException

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