tutorial.outlier

Class DistanceStddevOutlier<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>

tutorial.outlier.DistanceStddevOutlier<O,D>

Type Parameters:

O - Object type

D - Distance type

All Implemented Interfaces:

Algorithm, DistanceBasedAlgorithm<O,D>, OutlierAlgorithm, Parameterizable

public class DistanceStddevOutlier<O,D extends NumberDistance<D,?>>
extends AbstractDistanceBasedAlgorithm<O,D,OutlierResult>
implements OutlierAlgorithm

A simple outlier detection algorithm that computes the standard deviation of the kNN distances.

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field and Description
protected int	k Number of neighbors to get.
private static Logging	LOG Class logger

Fields inherited from interface de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm

DISTANCE_FUNCTION_ID

Constructor Summary

Constructors

Constructor and Description
DistanceStddevOutlier(DistanceFunction<? super O,D> distanceFunction, int k) Constructor.

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) Run the outlier detection algorithm

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

Class logger

k

protected int k

Number of neighbors to get.

Constructor Detail

DistanceStddevOutlier

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

Constructor.

Parameters:

distanceFunction - Distance function to use

k - Number of neighbors to use

Method Detail

run

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

Run the outlier detection algorithm

Parameters:

database - Database to use

relation - Relation to analyze

Returns:

Outlier score 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