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

Class DBOutlierScore<O,D extends Distance<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.AbstractDBOutlier<O,D>

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

Type Parameters:

O - Database object type

D - Distance type

All Implemented Interfaces:

Algorithm, OutlierAlgorithm, InspectionUtilFrequentlyScanned, Parameterizable

@Title(value="Distance based outlier score")
@Description(value="Generalization of the original DB-Outlier approach to a ranking method, by turning the fraction parameter into the output value.")
@Reference(prefix="Generalization of a method proposed in",
           authors="E.M. Knorr, R. T. Ng",
           title="Algorithms for Mining Distance-Based Outliers in Large Datasets",
           booktitle="Procs Int. Conf. on Very Large Databases (VLDB\'98), New York, USA, 1998")
public class DBOutlierScore<O,D extends Distance<D>>
extends AbstractDBOutlier<O,D>

Compute percentage of neighbors in the given neighborhood with size d. Generalization of the DB Outlier Detection by using the fraction as outlier score thus eliminating this parameter and turning the method into a ranking method instead of a labelling one.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	DBOutlierScore.Parameterizer<O,D extends Distance<D>> Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private static Logging	LOG The logger for this class.

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier

D_ID

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

DISTANCE_FUNCTION_ID

Constructor Summary

Constructors

Constructor and Description
DBOutlierScore(DistanceFunction<O,D> distanceFunction, D d) Constructor with parameters.

Method Summary

Methods

Modifier and Type	Method and Description
protected DoubleDataStore	computeOutlierScores(Database database, Relation<O> relation, D d) computes an outlier score for each object of the database.
protected Logging	getLogger() Get the (STATIC) logger for this class.

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier

getInputTypeRestriction, run

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.

Constructor Detail

DBOutlierScore

public DBOutlierScore(DistanceFunction<O,D> distanceFunction,
              D d)

Constructor with parameters.

Parameters:

distanceFunction - Distance function

d - distance radius parameter

Method Detail

computeOutlierScores

protected DoubleDataStore computeOutlierScores(Database database,
                                   Relation<O> relation,
                                   D d)

Description copied from class: AbstractDBOutlier

computes an outlier score for each object of the database.

Specified by:

computeOutlierScores in class AbstractDBOutlier<O,D extends Distance<D>>

Parameters:

database - Database

relation - Relation

d - distance

Returns:

computed scores

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