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

Class OPTICSOF<O,D extends NumberDistance<D,?>>

java.lang.Object

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

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

de.lmu.ifi.dbs.elki.algorithm.outlier.OPTICSOF<O,D>

Type Parameters:

O - DatabaseObject

All Implemented Interfaces:

Algorithm, OutlierAlgorithm, Parameterizable

@Title(value="OPTICS-OF: Identifying Local Outliers")
@Description(value="Algorithm to compute density-based local outlier factors in a database based on the neighborhood size parameter \'minpts\'")
@Reference(authors="M. M. Breunig, H.-P. Kriegel, R. Ng, and J. Sander",
           title="OPTICS-OF: Identifying Local Outliers",
           booktitle="Proc. of the 3rd European Conference on Principles of Knowledge Discovery and Data Mining (PKDD), Prague, Czech Republic",
           url="http://springerlink.metapress.com/content/76bx6413gqb4tvta/")
public class OPTICSOF<O,D extends NumberDistance<D,?>>
extends AbstractDistanceBasedAlgorithm<O,D,OutlierResult>
implements OutlierAlgorithm

OPTICSOF provides the Optics-of algorithm, an algorithm to find Local Outliers in a database.

Reference:
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. N, Jörg Sander:
OPTICS-OF: Identifying Local Outliers
In Proc. of the 3rd European Conference on Principles of Knowledge Discovery and Data Mining (PKDD), Prague, Czech Republic

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	OPTICSOF.Parameterizer<O,D extends NumberDistance<D,?>> Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private static Logging	LOG The logger for this class.
private int	minpts Parameter to specify the threshold MinPts.

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

DISTANCE_FUNCTION_ID

Constructor Summary

Constructors

Constructor and Description
OPTICSOF(DistanceFunction<? super O,D> distanceFunction, int minpts) Constructor with parameters.

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<O> relation) Perform OPTICS-based outlier detection.

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.

minpts

private int minpts

Parameter to specify the threshold MinPts.

Constructor Detail

OPTICSOF

public OPTICSOF(DistanceFunction<? super O,D> distanceFunction,
        int minpts)

Constructor with parameters.

Parameters:

distanceFunction - distance function

minpts - minPts parameter

Method Detail

run

public OutlierResult run(Database database,
                Relation<O> relation)

Perform OPTICS-based outlier detection.

Parameters:

database - Database

relation - Relation

Returns:

Outlier detection result

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