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

Class CTLuRandomWalkEC<N,D extends NumberDistance<D,?>>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm<N,D,OutlierResult>

de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC<N,D>

Type Parameters:

N - Spatial Vector type

D - Distance to use

All Implemented Interfaces:

Algorithm, OutlierAlgorithm, InspectionUtilFrequentlyScanned, Parameterizable

@Title(value="Random Walk on Exhaustive Combination")
@Description(value="Spatial Outlier Detection using Random Walk on Exhaustive Combination")
@Reference(authors="X. Liu and C.-T. Lu and F. Chen",
           title="Spatial outlier detection: random walk based approaches",
           booktitle="Proc. 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2010",
           url="http://dx.doi.org/10.1145/1869790.1869841")
public class CTLuRandomWalkEC<N,D extends NumberDistance<D,?>>
extends AbstractDistanceBasedAlgorithm<N,D,OutlierResult>
implements OutlierAlgorithm

Spatial outlier detection based on random walks. Note: this method can only handle one-dimensional data, but could probably be easily extended to higher dimensional data by using an distance function instead of the absolute difference.

X. Liu and C.-T. Lu and F. Chen:
Spatial outlier detection: random walk based approaches,
in Proc. 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2010

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field and Description
private double	alpha Parameter alpha: Attribute difference exponent
private double	c Parameter c: damping factor
private int	k Parameter k
private static Logging	logger Logger

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

DISTANCE_FUNCTION_ID

Constructor Summary

Constructors

Constructor and Description
CTLuRandomWalkEC(DistanceFunction<N,D> distanceFunction, double alpha, double c, 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(Relation<N> spatial, Relation<? extends NumberVector<?,?>> relation) Run the 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

logger

private static final Logging logger

Logger

alpha

private double alpha

Parameter alpha: Attribute difference exponent

c

private double c

Parameter c: damping factor

k

private int k

Parameter k

Constructor Detail

CTLuRandomWalkEC

public CTLuRandomWalkEC(DistanceFunction<N,D> distanceFunction,
                double alpha,
                double c,
                int k)

Constructor

Parameters:

distanceFunction - Distance function

alpha - Alpha parameter

c - C parameter

k - Number of neighbors

Method Detail

run

public OutlierResult run(Relation<N> spatial,
                Relation<? extends NumberVector<?,?>> relation)

Run the algorithm

Parameters:

spatial - Spatial neighborhood relation

relation - Attribute value relation

Returns:

Outlier 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