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

Class CTLuScatterplotOutlier<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.CTLuScatterplotOutlier<N>

Type Parameters:

N - Neighborhood object type

All Implemented Interfaces:

Algorithm, OutlierAlgorithm, Parameterizable

@Title(value="Scatterplot Spatial Outlier")
@Description(value="Spatial Outlier Detection Algorithm using linear regression of attributes and the mean of their neighbors.")
@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 CTLuScatterplotOutlier<N>
extends AbstractNeighborhoodOutlier<N>

Scatterplot-outlier is a spatial outlier detection method that performs a linear regression of object attributes and their neighbors average value.

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

Scatterplot shows attribute values on the X-axis and the average of the attribute values in the neighborhood on the Y-axis. Best fit regression line is used to identify spatial outliers. Vertical difference of a data point tells about outlierness.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	CTLuScatterplotOutlier.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
CTLuScatterplotOutlier(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(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

CTLuScatterplotOutlier

public CTLuScatterplotOutlier(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