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

Class CTLuZTestOutlier<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.CTLuZTestOutlier<N>

Type Parameters:

N - Neighborhood type

All Implemented Interfaces:

Algorithm, OutlierAlgorithm

@Title(value="Z-Test Outlier Detection")
@Description(value="Outliers are detected by their z-deviation from the local mean.")
@Reference(authors="S. Shekhar and C.-T. Lu and P. Zhang",
           title="A Unified Approach to Detecting Spatial Outliers",
           booktitle="GeoInformatica 7-2, 2003",
           url="http://dx.doi.org/10.1023/A:1023455925009")
public class CTLuZTestOutlier<N>
extends AbstractNeighborhoodOutlier<N>

Detect outliers by comparing their attribute value to the mean and standard deviation of their neighborhood.

Reference:
S. Shekhar and C.-T. Lu and P. Zhang
A Unified Approach to Detecting Spatial Outliers
in in GeoInformatica 7-2, 2003.

Description:
Z-Test Algorithm uses mean to represent the average non-spatial attribute value of neighbors.
The Difference e = non-spatial-attribute-value - mean (Neighborhood) is computed.
The Spatial Objects with the highest standardized e value are Spatial Outliers.

Author:

Ahmed Hettab

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	CTLuZTestOutlier.Parameterizer<N> Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private static Logging	LOG The logger for this class.

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

NEIGHBORHOOD_ID

Constructor Summary

Constructors

Constructor and Description
CTLuZTestOutlier(NeighborSetPredicate.Factory<N> npredf) 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(Database database, 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

LOG

private static final Logging LOG

The logger for this class.

Constructor Detail

CTLuZTestOutlier

public CTLuZTestOutlier(NeighborSetPredicate.Factory<N> npredf)

Constructor.

Parameters:

npredf - Neighbor predicate

Method Detail

run

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

Main method.

Parameters:

database - Database

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