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

Class ABOD<V extends NumberVector<?>>

java.lang.Object

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

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

Type Parameters:

V - Vector type

All Implemented Interfaces:

Algorithm, OutlierAlgorithm, Parameterizable

Direct Known Subclasses:

FastABOD

@Title(value="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 ABOD<V extends NumberVector<?>>
extends AbstractAlgorithm<OutlierResult>
implements OutlierAlgorithm

Angle-Based Outlier Detection / Angle-Based Outlier Factor. Outlier detection using variance analysis on angles, especially for high dimensional data sets. Exact version, which has cubic runtime (see also FastABOD and LBABOD for faster versions). 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	ABOD.Parameterizer<V extends NumberVector<?>> Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
protected SimilarityFunction<? super V,DoubleDistance>	kernelFunction Store the configured Kernel version.
private static Logging	LOG The logger for this class.

Constructor Summary

Constructors

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

Method Summary

Methods

Modifier and Type	Method and Description
protected double	computeABOF(Relation<V> relation, KernelMatrix kernelMatrix, DBIDRef pA, MeanVariance s) Compute the exact ABOF value.
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 ABOD on the data set.

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.

kernelFunction

protected SimilarityFunction<? super V extends NumberVector<?>,DoubleDistance> kernelFunction

Store the configured Kernel version.

Constructor Detail

ABOD

public ABOD(SimilarityFunction<? super V,DoubleDistance> kernelFunction)

Constructor for Angle-Based Outlier Detection (ABOD).

Parameters:

kernelFunction - kernel function to use

Method Detail

run

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

Run ABOD on the data set.

Parameters:

relation - Relation to process

Returns:

Outlier detection result

computeABOF

protected double computeABOF(Relation<V> relation,
                 KernelMatrix kernelMatrix,
                 DBIDRef pA,
                 MeanVariance s)

Compute the exact ABOF value.

Parameters:

relation - Relation

kernelMatrix - Kernel matrix

pA - Object A to compute ABOF for

s - Statistics tracker

Returns:

ABOF value

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