Package elki.clustering.optics

Class OPTICSXi.ClusterHierarchyBuilder

  • Enclosing class:
    OPTICSXi
    private static class OPTICSXi.ClusterHierarchyBuilder
extends java.lang.Object
    Class to build the hierarchical clustering result structure.
    Author:
    Erich Schubert

    • Field Summary

      Fields 
      Modifier and Type Field Description
      (package private) Clustering<OPTICSModel> clustering
      ELKI clustering object
      (package private) java.util.HashSet<Cluster<OPTICSModel>> curclusters
      Current "unattached" clusters.
      (package private) elki.database.ids.HashSetModifiableDBIDs unclaimedids
      Unclaimed objects that will be assigned to a top level or noise cluster in the end.

    • Constructor Summary

      Constructors 
      Constructor Description
      ClusterHierarchyBuilder​(elki.database.ids.DBIDs ids)
      Constructor.

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      private void addCluster​(elki.database.ids.DBIDArrayIter tmp, int cstart, int cend)
      Build a cluster object.
      private Clustering<OPTICSModel> build​(ClusterOrder clusterOrder, elki.database.ids.DBIDArrayIter iter)
      Build the main clustering result.

      • Methods inherited from class java.lang.Object

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

    • Field Detail

      • curclusters

        java.util.HashSet<Cluster<OPTICSModel>> curclusters
        Current "unattached" clusters.

      • unclaimedids

        elki.database.ids.HashSetModifiableDBIDs unclaimedids
        Unclaimed objects that will be assigned to a top level or noise cluster in the end.

    • Constructor Detail

      • ClusterHierarchyBuilder

        public ClusterHierarchyBuilder​(elki.database.ids.DBIDs ids)
        Constructor.
        Parameters:
        ids - All object ids (arbitrary order)

    • Method Detail

      • addCluster

        private void addCluster​(elki.database.ids.DBIDArrayIter tmp,
                        int cstart,
                        int cend)
        Build a cluster object.
        Parameters:
        tmp - DBID array iterator
        cstart - Interval start
        cend - Interval end

      • build

        private Clustering<OPTICSModel> build​(ClusterOrder clusterOrder,
                                      elki.database.ids.DBIDArrayIter iter)
        Build the main clustering result.
        Parameters:
        clusterOrder - Cluster order
        iter - Array iterator for the cluster order
        Returns:
        Clustering