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.spectral;
031
032import org.openimaj.ml.clustering.SpatialClusterer;
033import org.openimaj.ml.clustering.SpatialClusters;
034
035/**
036 * @author Sina Samangooei (ss@ecs.soton.ac.uk)
037 * 
038 * Provides similar configuration to {@link SpectralClusteringConf} along with a lambda 
039 * which acts as the co-regularisation parameter
040 *
041 * @param <DATATYPE>
042 */
043public class MultiviewSpectralClusteringConf<DATATYPE> extends SpectralClusteringConf<DATATYPE>{
044
045        /**
046         * regularisation parameter
047         */
048        public double lambda;
049        
050        /**
051         * when to stop iterating
052         */
053        public StoppingCondition stop;
054
055        /**
056         * @param lambda coregularisaton parameter
057         * @param internal
058         * @param laplacian
059         */
060        public MultiviewSpectralClusteringConf(double lambda, SpatialClusterer<? extends SpatialClusters<DATATYPE>, DATATYPE> internal,GraphLaplacian laplacian) {
061                super(internal, laplacian);
062                this.lambda = lambda;
063        }
064
065        /**
066         * @param lambda coregularisaton parameter
067         * @param internal
068         * @param eigK
069         */
070        public MultiviewSpectralClusteringConf(double lambda, SpatialClusterer<? extends SpatialClusters<DATATYPE>, DATATYPE> internal,int eigK) {
071                super(internal, eigK);
072                this.lambda = lambda;
073        }
074
075        /**
076         * @param lambda coregularisaton parameter
077         * @param internal
078         */
079        public MultiviewSpectralClusteringConf(double lambda, SpatialClusterer<? extends SpatialClusters<DATATYPE>, DATATYPE> internal) {
080                super(internal);
081                this.lambda = lambda;
082        }
083
084
085}