de.lmu.ifi.dbs.elki.algorithm.clustering
Interface Clustering<O extends DatabaseObject>

Type Parameters:

O - the type of DatabaseObject handled by this Clustering

All Superinterfaces:

Algorithm<O>, Parameterizable

All Known Implementing Classes:

CLIQUE, COPAC, DBSCAN, EM, FourC, KMeans, ORCLUS, PreDeCon, PROCLUS, ProjectedClustering, ProjectedDBSCAN, SNNClustering

public interface Clustering<O extends DatabaseObject>
extends Algorithm<O>

Interface for Algorithms that are capable to provide a ClusteringResult. in general, clustering algorithms are supposed to implement the Algorithm-Interface. The more specialized interface Clustering requires an implementing algorithm to provide a special result class suitable as a partitioning of the database. More relaxed clustering algorithms are allowed to provide a result that is a fuzzy clustering, does not partition the database complete or is in any other sense a relaxed clustering result.

Author:

Arthur Zimek

Method Summary

ClusteringResult<O>

getResult() Returns the result of the algorithm.

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

getDescription, run, setTime, setVerbose

Methods inherited from interface de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable

checkGlobalParameterConstraints, description, getAttributeSettings, getParameters, getPossibleOptions, inlineDescription, setParameters

Method Detail

getResult

ClusteringResult<O> getResult()

Description copied from interface: Algorithm

Returns the result of the algorithm.

Specified by:

getResult in interface Algorithm<O extends DatabaseObject>

Returns:

the result of the algorithm

See Also:

Algorithm.getResult()