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

Class FastABOD<V extends NumberVector<?>>

java.lang.Object

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

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

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

Type Parameters:

V - Vector type

All Implemented Interfaces:

Algorithm, OutlierAlgorithm, Parameterizable

Direct Known Subclasses:

LBABOD

@Title(value="Approximate ABOD: Angle-Based Outlier Detection")
@Description(value="Outlier detection using variance analysis on angles, especially for high dimensional data sets.")
@Reference(authors="H.-P. Kriegel, M. Schubert, and A. Zimek",
           title="Angle-Based Outlier Detection in High-dimensional Data",
           booktitle="Proc. 14th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD \'08), Las Vegas, NV, 2008",
           url="http://dx.doi.org/10.1145/1401890.1401946")
public class FastABOD<V extends NumberVector<?>>
extends ABOD<V>

Angle-Based Outlier Detection / Angle-Based Outlier Factor. Fast-ABOD (approximateABOF) version. H.-P. Kriegel, M. Schubert, and A. Zimek: Angle-Based Outlier Detection in High-dimensional Data. In: Proc. 14th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD '08), Las Vegas, NV, 2008.

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field and Description
protected int	k Number of nearest neighbors.
private static Logging	LOG The logger for this class.

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

kernelFunction

Constructor Summary

Constructors

Constructor and Description
FastABOD(SimilarityFunction<? super V,DoubleDistance> kernelFunction, int k) Constructor for Angle-Based Outlier Detection (ABOD).

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 db, Relation<V> relation) Run Fast-ABOD on the data set.

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

computeABOF

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

protected int k

Number of nearest neighbors.

Constructor Detail

FastABOD

public FastABOD(SimilarityFunction<? super V,DoubleDistance> kernelFunction,
        int k)

Constructor for Angle-Based Outlier Detection (ABOD).

Parameters:

kernelFunction - kernel function to use

k - Number of nearest neighbors

Method Detail

run

public OutlierResult run(Database db,
                Relation<V> relation)

Run Fast-ABOD on the data set.

Overrides:

run in class ABOD<V extends NumberVector<?>>

Parameters:

relation - Relation to process

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

Overrides:

getInputTypeRestriction in class ABOD<V extends NumberVector<?>>

Returns:

Type restriction

getLogger

protected Logging getLogger()

Description copied from class: AbstractAlgorithm

Get the (STATIC) logger for this class.

Overrides:

getLogger in class ABOD<V extends NumberVector<?>>

Returns:

the static logger