de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Class PreDeCon<V extends NumberVector>

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<Clustering<Model>>

de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN

de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon<V>

Type Parameters:

V - the type of NumberVector handled by this Algorithm

All Implemented Interfaces:

Algorithm, ClusteringAlgorithm<Clustering<Model>>

@Title(value="PreDeCon: Subspace Preference weighted Density Connected Clustering")
@Description(value="PreDeCon computes clusters of subspace preference weighted connected points. The algorithm searches for local subgroups of a set of feature vectors having a low variance along one or more (but not all) attributes.")
@Reference(authors="C. B\u00f6hm, K. Kailing, H.-P. Kriegel, P. Kr\u00f6ger",
           title="Density Connected Clustering with Local Subspace Preferences",
           booktitle="Proc. 4th IEEE Int. Conf. on Data Mining (ICDM\'04), Brighton, UK, 2004",
           url="http://dx.doi.org/10.1109/ICDM.2004.10087")
public class PreDeCon<V extends NumberVector>
extends GeneralizedDBSCAN

PreDeCon computes clusters of subspace preference weighted connected points. The algorithm searches for local subgroups of a set of feature vectors having a low variance along one or more (but not all) attributes. Reference:

C. Böhm, K. Kailing, H.-P. Kriegel, P. Kröger:
Density Connected Clustering with Local Subspace Preferences.
In Proc. 4th IEEE Int. Conf. on Data Mining (ICDM'04), Brighton, UK, 2004.

Author:

Peer Kröger

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	PreDeCon.Parameterizer<V extends NumberVector> Parameterization class.
static class	PreDeCon.Settings Class containing all the PreDeCon settings.

Nested classes/interfaces inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN

GeneralizedDBSCAN.Instance<T>

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.clustering.gdbscan.GeneralizedDBSCAN

coremodel, corepred, npred

Constructor Summary

Constructors

Constructor and Description
PreDeCon(PreDeCon.Settings settings) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
protected Logging	getLogger() Get the (STATIC) logger for this class.

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN

getInputTypeRestriction, run

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

makeParameterDistanceFunction

Methods inherited from class java.lang.Object

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

Field Detail

LOG

private static final Logging LOG

The logger for this class.

Constructor Detail

PreDeCon

public PreDeCon(PreDeCon.Settings settings)

Constructor.

Parameters:

settings - PreDeCon settings.

Method Detail

getLogger

protected Logging getLogger()

Description copied from class: AbstractAlgorithm

Get the (STATIC) logger for this class.

Overrides:

getLogger in class GeneralizedDBSCAN

Returns:

the static logger