Examples with COPACNeighborPredicate de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate used on opensource projects

Example 1 with COPACNeighborPredicate

use of de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate in project elki by elki-project.

the class COPAC method run.

/**
 * Run the COPAC algorithm.
 *
 * @param database Database
 * @param relation Vector field relation
 * @return COPAC clustering
 */
public Clustering<DimensionModel> run(Database database, Relation<V> relation) {
    COPACNeighborPredicate.Instance npred = new COPACNeighborPredicate<V>(settings).instantiate(database, relation);
    CorePredicate.Instance<DBIDs> cpred = new MinPtsCorePredicate(settings.minpts).instantiate(database);
    Clustering<Model> dclusters = new GeneralizedDBSCAN.Instance<>(npred, cpred, false).run();
    // Re-wrap the detected clusters for COPAC:
    Clustering<DimensionModel> result = new Clustering<>("COPAC clustering", "copac-clustering");
    // Generalized DBSCAN clusterings will be flat.
    for (It<Cluster<Model>> iter = dclusters.iterToplevelClusters(); iter.valid(); iter.advance()) {
        Cluster<Model> clus = iter.get();
        if (clus.size() > 0) {
            int dim = npred.dimensionality(clus.getIDs().iter());
            DimensionModel model = new DimensionModel(dim);
            result.addToplevelCluster(new Cluster<>(clus.getIDs(), model));
        }
    }
    return result;
}