Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

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

java.lang.Object
  extended by de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      extended by de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable
          extended by de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<V,Clustering<Model>>
              extended by de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN<V>
                  extended by de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon<V>
Type Parameters:
V - the type of RealVector handled by this Algorithm
All Implemented Interfaces:
Algorithm<V,Clustering<Model>>, ClusteringAlgorithm<Clustering<Model>,V>, Parameterizable

public class PreDeCon<V extends RealVector<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. Boehm, K. Kailing, H.-P. Kriegel, P. Kroeger: 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
DISTANCE_FUNCTION_ID, DISTANCE_FUNCTION_PARAM, epsilon, EPSILON_ID, LAMBDA_ID, minpts, MINPTS_ID
 
Fields inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable
optionHandler
 
Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable
debug, logger
 
Constructor Summary
PreDeCon()
           
 
Method Summary
 Description getDescription()
          Returns a description of the algorithm.
 Class<?> preprocessorClass()
          Returns the class actually used as VarianceAnalysisPreprocessor.
 
Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN
expandCluster, getResult, runInTime, setParameters
 
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.utilities.optionhandling.AbstractParameterizable
addOption, addParameterizable, addParameterizable, checkGlobalParameterConstraints, collectOptions, getAttributeSettings, getParameters, rememberParametersExcept, removeOption, removeParameterizable, shortDescription
 
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
 
Methods inherited from interface de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable
checkGlobalParameterConstraints, collectOptions, getParameters, shortDescription
 

Constructor Detail

PreDeCon

public PreDeCon()
Method Detail

getDescription

public Description getDescription()
Description copied from interface: Algorithm
Returns a description of the algorithm.

Returns:
a description of the algorithm

preprocessorClass

public Class<?> preprocessorClass()
Description copied from class: ProjectedDBSCAN
Returns the class actually used as VarianceAnalysisPreprocessor.

Specified by:
preprocessorClass in class ProjectedDBSCAN<V extends RealVector<V,?>>
Returns:
the class actually used as VarianceAnalysisPreprocessor

Release 0.2.1 (2009-07-13_1605)