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

static class

CTLuRandomWalkEC.Parameterizer<N,D extends NumberDistance<D,?>> Parameterization class.

Field Summary

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

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

Method Summary

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