Package elki.outlier

Class COP<V extends NumberVector>

java.lang.Object

elki.outlier.COP<V>

Type Parameters:

V - the type of NumberVector handled by this Algorithm

All Implemented Interfaces:

Algorithm, OutlierAlgorithm

@Title("COP: Correlation Outlier Probability")
@Reference(authors="Hans-Peter Kriegel, Peer Kr\u00f6ger, Erich Schubert, Arthur Zimek",
           title="Outlier Detection in Arbitrarily Oriented Subspaces",
           booktitle="Proc. IEEE Int. Conf. on Data Mining (ICDM 2012)",
           url="https://doi.org/10.1109/ICDM.2012.21",
           bibkey="DBLP:conf/icdm/KriegelKSZ12")
public class COP<V extends NumberVector>
extends java.lang.Object
implements OutlierAlgorithm

Correlation outlier probability: Outlier Detection in Arbitrarily Oriented Subspaces

Reference:

Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
Outlier Detection in Arbitrarily Oriented Subspaces
Proc. IEEE Int. Conf. on Data Mining (ICDM 2012)

Since:

0.5.5

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	COP.DistanceDist	Score type.
static class	COP.Par<V extends NumberVector>	Parameterization class.

Nested classes/interfaces inherited from interface elki.Algorithm

Algorithm.Utils

Field Summary

Fields

Modifier and Type	Field	Description
static java.lang.String	COP_DIM	Result name for the dimensionality.
static java.lang.String	COP_ERRORVEC	Result name for the error vectors.
static java.lang.String	COP_SCORES	Result name for the COP outlier scores.
protected COP.DistanceDist	dist	Type of distribution to assume for distances.
protected Distance<? super V>	distance	Distance function used.
protected double	expect	Expected amount of outliers.
protected int	k	Number of neighbors to be considered.
private static Logging	LOG	The logger for this class.
protected boolean	models	Include models in output.
protected PCARunner	pca	Holds the PCA runner.
private static DoubleArrayAdapter	SHORTENED_ARRAY	A clone of DoubleArrayAdapter that only uses the first 85% of the array!

Constructor Summary

Constructors

Constructor	Description
COP(Distance<? super V> distance, int k, PCARunner pca, double expect, COP.DistanceDist dist, boolean models)	Constructor.

Method Summary

Modifier and Type	Method	Description
private static void	computeCentroid(double[] centroid, Relation<? extends NumberVector> relation, DBIDs ids)	Recompute the centroid of a set.
TypeInformation[]	getInputTypeRestriction()	Get the input type restriction used for negotiating the data query.
OutlierResult	run(Relation<V> relation)	Process a single relation.

Methods inherited from class java.lang.Object

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

Methods inherited from interface elki.outlier.OutlierAlgorithm

autorun

Field Detail

LOG

private static final Logging LOG

The logger for this class.

COP_SCORES

public static final java.lang.String COP_SCORES

Result name for the COP outlier scores.

See Also:

Constant Field Values

COP_DIM

public static final java.lang.String COP_DIM

Result name for the dimensionality.

See Also:

Constant Field Values

COP_ERRORVEC

public static final java.lang.String COP_ERRORVEC

Result name for the error vectors.

See Also:

Constant Field Values

SHORTENED_ARRAY

private static final DoubleArrayAdapter SHORTENED_ARRAY

A clone of DoubleArrayAdapter that only uses the first 85% of the array!

distance

protected Distance<? super V extends NumberVector> distance

Distance function used.

k

protected int k

Number of neighbors to be considered.

pca

protected PCARunner pca

Holds the PCA runner.

expect

protected double expect

Expected amount of outliers.

dist

protected COP.DistanceDist dist

Type of distribution to assume for distances.

models

protected boolean models

Include models in output.

Constructor Detail

COP

public COP(Distance<? super V> distance,
           int k,
           PCARunner pca,
           double expect,
           COP.DistanceDist dist,
           boolean models)

Constructor.

Parameters:

distance - distance function

k - number of neighbors

pca - PCA computation method

expect - Expected fraction of outliers (for score normalization)

dist - Distance distribution model (ChiSquared, Gamma)

models - Report models

Method Detail

getInputTypeRestriction

public TypeInformation[] getInputTypeRestriction()

Description copied from interface: Algorithm

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

Specified by:

getInputTypeRestriction in interface Algorithm

Returns:

Type restriction

run

public OutlierResult run(Relation<V> relation)

Process a single relation.

Parameters:

relation - Relation to process

Returns:

Outlier detection result

computeCentroid

private static void computeCentroid(double[] centroid,
                                    Relation<? extends NumberVector> relation,
                                    DBIDs ids)

Recompute the centroid of a set.

Parameters:

centroid - Scratch buffer

relation - Input data

ids - IDs to include