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

Class CTLuMeanMultipleAttributes<N,O extends NumberVector>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier<N>

de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMeanMultipleAttributes<N,O>

Type Parameters:

N - Spatial Vector

O - Attribute Vector

All Implemented Interfaces:

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 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

Modifier and Type	Class and Description
static class	CTLuMeanMultipleAttributes.Parameterizer<N,O extends NumberVector> Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private static Logging	LOG Logger

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier

NEIGHBORHOOD_ID

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

ALGORITHM_ID

Constructor Summary

Constructors

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

Method Summary

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<N> spatial, Relation<O> attributes) Run the algorithm

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier

getNeighborSetPredicateFactory

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

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

Logger

Constructor Detail

CTLuMeanMultipleAttributes

public CTLuMeanMultipleAttributes(NeighborSetPredicate.Factory<N> npredf)

Constructor

Parameters:

npredf - Neighborhood predicate

Method Detail

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

run

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

Run the algorithm

Parameters:

database - Database

spatial - Spatial relation

attributes - Numerical attributes

Returns:

Outlier detection 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