de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
Class PreDeCon<V extends RealVector<V,?>>
java.lang.Object
de.lmu.ifi.dbs.elki.logging.AbstractLoggable
de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable
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 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
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 java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
PreDeCon
public PreDeCon()
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