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

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.CTLuMedianAlgorithm<N>

Type Parameters:

N - Neighborhood type

All Implemented Interfaces:

Algorithm, OutlierAlgorithm, InspectionUtilFrequentlyScanned, Parameterizable

@Title(value="Median Algorithm for Spatial Outlier Detection")
@Reference(authors="C.-T. Lu and D. Chen and Y. Kou",
           title="Algorithms for Spatial Outlier Detection",
           booktitle="Proc. 3rd IEEE International Conference on Data Mining",
           url="http://dx.doi.org/10.1109/ICDM.2003.1250986")
public class CTLuMedianAlgorithm<N>
extends AbstractNeighborhoodOutlier<N>

Median Algorithm of C.-T. Lu

Reference:
C.-T. Lu and D. Chen and Y. Kou
Algorithms for Spatial Outlier Detection
in Proc. 3rd IEEE International Conference on Data Mining

Median Algorithm uses Median to represent the average non-spatial attribute value of neighbors.
The Difference e = non-spatial-Attribute-Value - Median (Neighborhood) is computed.
The Spatial Objects with the highest standardized e value are Spatial Outliers.

Nested Class Summary

static class

CTLuMedianAlgorithm.Parameterizer<N> Parameterization class

Field Summary

private static Logging

logger The logger for this class.

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

NEIGHBORHOOD_ID

Constructor Summary

CTLuMedianAlgorithm(NeighborSetPredicate.Factory<N> npredf)
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> nrel, Relation<? extends NumberVector<?,?>> relation) Main method

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

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

The logger for this class.

Constructor Detail

CTLuMedianAlgorithm

public CTLuMedianAlgorithm(NeighborSetPredicate.Factory<N> npredf)

Constructor

Parameters:

npredf - Neighborhood predicate

Method Detail

run

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

Main method

Parameters:

nrel - Neighborhood relation

relation - Data relation (1d!)

Returns:

Outlier detection result

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

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