Class COPAC

  • All Implemented Interfaces:
    Algorithm, ClusteringAlgorithm<Clustering<DimensionModel>>

    @Title("COPAC: COrrelation PArtition Clustering")
    @Description("Partitions a database according to the correlation dimension of its objects and performs a clustering algorithm over the partitions.")
    @Reference(authors="Elke Achtert, Christian B\u00f6hm, Hans-Peter Kriegel, Peer Kr\u00f6ger, Arthur Zimek",
               title="Robust, Complete, and Efficient Correlation Clustering",
               booktitle="Proc. 7th SIAM Int. Conf. on Data Mining (SDM\'07)",
               url="https://doi.org/10.1137/1.9781611972771.37",
               bibkey="DBLP:conf/sdm/AchtertBKKZ07")
    public class COPAC
    extends java.lang.Object
    implements ClusteringAlgorithm<Clustering<DimensionModel>>
    COPAC is an algorithm to partition a database according to the correlation dimension of its objects and to then perform an arbitrary clustering algorithm over the partitions.

    Reference:

    Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
    Robust, Complete, and Efficient Correlation Clustering
    Proc. 7th SIAM Int. Conf. on Data Mining (SDM'07)

    Since:
    0.1
    Author:
    Arthur Zimek