de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
Class PreDeCon<V extends NumberVector<V,?>>

java.lang.Object
  de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<V,Clustering<Model>>
          de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN<V>
              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<V,Clustering<Model>>, ClusteringAlgorithm<Clustering<Model>,V>, Parameterizable

@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<V,?>>
extends ProjectedDBSCAN<V>

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

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN

epsilon, EPSILON_ID, INNER_DISTANCE_FUNCTION_ID, LAMBDA_ID, minpts, MINPTS_ID, OUTER_DISTANCE_FUNCTION_ID, OUTER_DISTANCE_FUNCTION_PARAM

Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debug, logger

Constructor Summary

PreDeCon(Parameterization config)
Constructor, adhering to Parameterizable

Method Summary

Class<?>

preprocessorClass() Returns the class actually used as VarianceAnalysisPreprocessor.

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

expandCluster, runInTime

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

isTime, isVerbose, run, setTime, setVerbose

Methods inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debugFine, debugFiner, debugFinest, exception, progress, verbose, warning

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.clustering.ClusteringAlgorithm

run

Methods inherited from interface de.lmu.ifi.dbs.elki.algorithm.Algorithm

setTime, setVerbose

Constructor Detail

PreDeCon

public PreDeCon(Parameterization config)

Constructor, adhering to Parameterizable

Parameters:

config - Parameterization

Method Detail

preprocessorClass

public Class<?> preprocessorClass()

Description copied from class: ProjectedDBSCAN

Returns the class actually used as VarianceAnalysisPreprocessor.

Specified by:

preprocessorClass in class ProjectedDBSCAN<V extends NumberVector<V,?>>

Returns:

the class actually used as VarianceAnalysisPreprocessor