Class MiniMaxAnderberg<O>

  • All Implemented Interfaces:
    Algorithm, HierarchicalClusteringAlgorithm

    @Reference(authors="M. R. Anderberg",
               title="Hierarchical Clustering Methods",
               booktitle="Cluster Analysis for Applications",
               bibkey="books/academic/Anderberg73/Ch6")
    @Priority(195)
    public class MiniMaxAnderberg<O>
    extends MiniMax<O>
    This is a modification of the classic MiniMax algorithm for hierarchical clustering using a nearest-neighbor heuristic for acceleration.

    This optimization is attributed to M. R. Anderberg.

    Reference:

    M. R. Anderberg
    Hierarchical Clustering Methods
    Cluster Analysis for Applications
    ISBN: 0120576503

    Since:
    0.7.5
    Author:
    Julian Erhard, Erich Schubert
    • Field Detail

      • LOG

        private static final Logging LOG
        Class logger
    • Constructor Detail

      • MiniMaxAnderberg

        public MiniMaxAnderberg​(Distance<? super O> distance)
        Constructor.
        Parameters:
        distance - Distance function to use