de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
Class FourC<O extends RealVector<O,?>>
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<O>
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC<O>
- Type Parameters:
O
- type of DatabaseObjects handled by this Algorithm
- All Implemented Interfaces:
- Algorithm<O,Clustering<Model>>, ClusteringAlgorithm<Clustering<Model>,O>, Parameterizable
public class FourC<O extends RealVector<O,?>>
- extends ProjectedDBSCAN<O>
4C identifies local subgroups of data objects sharing a uniform correlation.
The algorithm is based on a combination of PCA and density-based clustering (DBSCAN).
Reference:
Christian Böhm, Karin Kailing, Peer Kröger, Arthur Zimek:
Computing Clusters of Correlation Connected Objects.
In Proc. ACM SIGMOD Int. Conf. on Management of Data, Paris, France, 2004.
- Author:
- Arthur Zimek
Constructor Summary |
FourC()
|
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 |
FourC
public FourC()
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<O extends RealVector<O,?>>
- Returns:
- the class actually used as
VarianceAnalysisPreprocessor