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

Class KNNDD<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.distance.KNNDD<O>

Type Parameters:

O - the type of objects processed by this algorithm

All Implemented Interfaces:

Algorithm, DistanceBasedAlgorithm<O>, OutlierAlgorithm

@Title(value="KNNDD: k-Nearest Neighbor Data Description")
 @Reference(authors="D. de Ridder, D. M. J. Tax, R. P. W. Duin",
           title="An experimental comparison of one-class classification methods",
           booktitle="Proc. 4th Ann. Conf. Advanced School for Computing and Imaging (ASCI\'98)",
           url="http://prlab.tudelft.nl/sites/default/files/asci_98.pdf",
           bibkey="conf/asci/deRidderTD98")
public class KNNDD<O>
extends AbstractDistanceBasedAlgorithm<O,OutlierResult>
implements OutlierAlgorithm

Nearest Neighbor Data Description.

A variation inbetween of KNN outlier and LOF, comparing the nearest neighbor distance of a point to the nearest neighbor distance of the nearest neighbor.

The initial description used k=1, where this equation makes most sense. For k > 1, one may want to use averaging similar to LOF.

Reference ("1-Nearest-Neighbor method"):

D. de Ridder, D. M. J. Tax, R. P. W. Duin
An experimental comparison of one-class classification methods
Proc. 4th Ann. Conf. Advanced School for Computing and Imaging (ASCI'98)

Since:

0.7.5

Author:

Erich Schubert

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field and Description
private int	k The parameter k (including query point!)
private static Logging	LOG The logger for this class.

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
KNNDD(DistanceFunction<? super O> distanceFunction, int k) Constructor for a single kNN query.

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, Relation<O> relation) Runs the algorithm in the timed evaluation part.
OutlierResult	run(Relation<O> relation) Runs the algorithm in the timed evaluation part.

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

getDistanceFunction

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

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

private int k

The parameter k (including query point!)

Constructor Detail

KNNDD

public KNNDD(DistanceFunction<? super O> distanceFunction,
             int k)

Constructor for a single kNN query.

Parameters:

distanceFunction - distance function to use

k - Value of k (excluding query point!)

Method Detail

run

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

Runs the algorithm in the timed evaluation part.

Parameters:

database - Database (no longer used)

relation - Data relation

run

public OutlierResult run(Relation<O> relation)

Runs the algorithm in the timed evaluation part.

Parameters:

relation - Data relation

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