Package elki.evaluation.clustering.pairsegments

Class ClusterPairSegmentAnalysis

  • All Implemented Interfaces:
    Evaluator, ResultProcessor
    @Reference(authors="Elke Achtert, Sascha Goldhofer, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek",
           title="Evaluation of Clusterings - Metrics and Visual Support",
           booktitle="Proc. 28th International Conference on Data Engineering (ICDE 2012)",
           url="https://doi.org/10.1109/ICDE.2012.128",
           bibkey="DBLP:conf/icde/AchtertGKSZ12")
public class ClusterPairSegmentAnalysis
extends java.lang.Object
implements Evaluator
    Evaluate clustering results by building segments for their pairs: shared pairs and differences.

    Reference:

    Elke Achtert, Sascha Goldhofer, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
    Evaluation of Clusterings – Metrics and Visual Support
    Proc. 28th International Conference on Data Engineering (ICDE 2012)

    Since:
    0.5.0
    Author:
    Sascha Goldhofer, Erich Schubert

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      void processNewResult​(java.lang.Object result)
      Perform clusterings evaluation

      • Methods inherited from class java.lang.Object

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

    • Constructor Detail

      • ClusterPairSegmentAnalysis

        public ClusterPairSegmentAnalysis()
        Constructor.

    • Method Detail

      • processNewResult

        public void processNewResult​(java.lang.Object result)
        Perform clusterings evaluation
        Specified by:
        processNewResult in interface ResultProcessor
        Parameters:
        result - Newly added result subtree.