Package elki.outlier.spatial

Class CTLuMeanMultipleAttributes<N,O extends elki.data.NumberVector>

java.lang.Object

elki.outlier.spatial.AbstractNeighborhoodOutlier<N>

elki.outlier.spatial.CTLuMeanMultipleAttributes<N,O>

Type Parameters:

N - Spatial Vector

O - Attribute Vector

All Implemented Interfaces:

elki.Algorithm, OutlierAlgorithm

@Reference(authors="C.-T. Lu, D. Chen, Y. Kou",
           title="Detecting Spatial Outliers with Multiple Attributes",
           booktitle="Proc. 15th IEEE Int. Conf. Tools with Artificial Intelligence (TAI 2003)",
           url="https://doi.org/10.1109/TAI.2003.1250179",
           bibkey="DBLP:conf/ictai/LuCK03")
public class CTLuMeanMultipleAttributes<N,O extends elki.data.NumberVector>
extends AbstractNeighborhoodOutlier<N>

Mean Approach is used to discover spatial outliers with multiple attributes.

Reference:

C.-T. Lu, D. Chen, Y. Kou
Detecting Spatial Outliers with Multiple Attributes
Proc. 15th IEEE Int. Conf. Tools with Artificial Intelligence (TAI 2003)

Implementation note: attribute standardization is not used; this is equivalent to using the AttributeWiseVarianceNormalization filter.

Since:

0.4.0

Author:

Ahmed Hettab

Nested Class Summary

Nested classes/interfaces inherited from interface elki.Algorithm

elki.Algorithm.Utils

Field Summary

Fields

Modifier and Type	Field	Description
private static elki.logging.Logging	LOG	Logger

Fields inherited from class elki.outlier.spatial.AbstractNeighborhoodOutlier

NEIGHBORHOOD_ID

Constructor Summary

Constructors

Constructor	Description
CTLuMeanMultipleAttributes(NeighborSetPredicate.Factory<N> npredf)	Constructor

Method Summary

Modifier and Type	Method	Description
elki.data.type.TypeInformation[]	getInputTypeRestriction()
OutlierResult	run(elki.database.Database database, elki.database.relation.Relation<N> spatial, elki.database.relation.Relation<O> attributes)	Run the algorithm

Methods inherited from class elki.outlier.spatial.AbstractNeighborhoodOutlier

getNeighborSetPredicateFactory

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface elki.outlier.OutlierAlgorithm

autorun

Field Detail

LOG

private static final elki.logging.Logging LOG

Logger

Constructor Detail

CTLuMeanMultipleAttributes

public CTLuMeanMultipleAttributes(NeighborSetPredicate.Factory<N> npredf)

Constructor

Parameters:

npredf - Neighborhood predicate

Method Detail

getInputTypeRestriction

public elki.data.type.TypeInformation[] getInputTypeRestriction()

run

public OutlierResult run(elki.database.Database database,
                         elki.database.relation.Relation<N> spatial,
                         elki.database.relation.Relation<O> attributes)

Run the algorithm

Parameters:

database - Database

spatial - Spatial relation

attributes - Numerical attributes

Returns:

Outlier detection result