001/**
002 * Copyright (c) 2011, The University of Southampton and the individual contributors.
003 * All rights reserved.
004 *
005 * Redistribution and use in source and binary forms, with or without modification,
006 * are permitted provided that the following conditions are met:
007 *
008 *   *  Redistributions of source code must retain the above copyright notice,
009 *      this list of conditions and the following disclaimer.
010 *
011 *   *  Redistributions in binary form must reproduce the above copyright notice,
012 *      this list of conditions and the following disclaimer in the documentation
013 *      and/or other materials provided with the distribution.
014 *
015 *   *  Neither the name of the University of Southampton nor the names of its
016 *      contributors may be used to endorse or promote products derived from this
017 *      software without specific prior written permission.
018 *
019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
020 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
021 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
022 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
023 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
024 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
025 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
026 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
027 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
028 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
029 */
030package org.openimaj.ml.clustering.dbscan;
031
032import org.openimaj.ml.clustering.DistanceClusterer;
033
034import ch.akuhn.matrix.SparseMatrix;
035
036/**
037 * {@link DBSCAN} using a {@link SparseMatrix} of distances
038 * 
039 * @author Sina Samangooei (ss@ecs.soton.ac.uk)
040 */
041public class DistanceDBSCAN extends SparseMatrixDBSCAN implements DistanceClusterer<DoubleDBSCANClusters> {
042
043        /**
044         * @param eps
045         * @param minPts
046         */
047        public DistanceDBSCAN(double eps, int minPts) {
048                super(eps, minPts);
049        }
050
051        @Override
052        public DoubleDBSCANClusters cluster(SparseMatrix data) {
053                return this.clusterDistance(data);
054        }
055
056        @Override
057        public DoubleDBSCANClusters clusterDistance(SparseMatrix data) {
058                final State s = new State(data.rowCount(), new SparseMatrixRegionMode(data, true), this.noiseAsClusters);
059                return dbscan(s);
060        }
061}