Package elki.evaluation.clustering.internal

Class DBCV<O>

  • Type Parameters:
    O - Object type
    All Implemented Interfaces:
    elki.evaluation.Evaluator, elki.result.ResultProcessor
    @Reference(authors="Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, J\u00f6rg Sander",
           title="Density-Based Clustering Validation",
           booktitle="Proc. 14th SIAM International Conference on Data Mining (SDM)",
           url="https://doi.org/10.1137/1.9781611973440.96",
           bibkey="DBLP:conf/sdm/MoulaviJCZS14")
public class DBCV<O>
extends java.lang.Object
implements elki.evaluation.Evaluator
    Compute the Density-Based Clustering Validation Index.

    Reference:

    Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander
    Density-Based Clustering Validation
    In: Proc. 14th SIAM International Conference on Data Mining (SDM).

    Since:
    0.7.5
    Author:
    Stephan Baier

    • Nested Class Summary

      Nested Classes 
      Modifier and Type Class Description
      static class  DBCV.Par<O>
      Parameterization class.

    • Field Summary

      Fields 
      Modifier and Type Field Description
      private elki.distance.Distance<? super O> distance
      Distance function to use.

    • Constructor Summary

      Constructors 
      Constructor Description
      DBCV​(elki.distance.Distance<? super O> distance)
      Constructor.

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      double evaluateClustering​(elki.database.relation.Relation<O> relation, Clustering<?> cl)
      Evaluate a single clustering.
      void processNewResult​(java.lang.Object newResult)  

      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Field Detail

      • distance

        private elki.distance.Distance<? super O> distance
        Distance function to use.

    • Constructor Detail

      • DBCV

        public DBCV​(elki.distance.Distance<? super O> distance)
        Constructor.
        Parameters:
        distance - Distance function

    • Method Detail

      • evaluateClustering

        public double evaluateClustering​(elki.database.relation.Relation<O> relation,
                                 Clustering<?> cl)
        Evaluate a single clustering.
        Parameters:
        relation - Data relation
        cl - Clustering
        Returns:
        dbcv DBCV-index

      • processNewResult

        public void processNewResult​(java.lang.Object newResult)
        Specified by:
        processNewResult in interface elki.result.ResultProcessor