63 строки
2,4 КиБ
Java
63 строки
2,4 КиБ
Java
/*
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* Copyright (C) 2011-2016 clueminer.org
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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package org.clueminer.clustering.benchmark;
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import org.clueminer.clustering.aggl.linkage.CompleteLinkage;
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import org.clueminer.clustering.aggl.linkage.SingleLinkage;
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import org.clueminer.clustering.api.AgglomerativeClustering;
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import org.clueminer.clustering.api.AlgParams;
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import org.clueminer.clustering.api.ClusteringAlgorithm;
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import org.clueminer.clustering.api.ClusteringFactory;
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import org.clueminer.dataset.api.Dataset;
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import org.clueminer.dataset.api.Instance;
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import org.clueminer.utils.Props;
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/**
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* Execute single clustering
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*
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* @author Tomas Barton
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* @param <E>
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*/
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public class ClusteringBenchmark<E extends Instance> {
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public Container<E> cluster(Dataset<E> dataset, Props props) {
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ClusteringFactory cf = ClusteringFactory.getInstance();
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ClusteringAlgorithm algorithm = cf.getProvider(props.get(AlgParams.ALG));
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return new Container(algorithm, dataset, props);
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}
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public Container<E> cluster(ClusteringAlgorithm algorithm, Dataset<E> dataset, Props props) {
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return new Container(algorithm, dataset, props);
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}
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public Container<E> hclust(final AgglomerativeClustering algorithm, final Dataset<E> dataset, final String linkage) {
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Props props = new Props();
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props.put(AlgParams.LINKAGE, linkage);
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final Container<E> runnable = new Container(algorithm, dataset, props);
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return runnable;
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}
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public Container<E> singleLinkage(final AgglomerativeClustering algorithm, final Dataset<E> dataset) {
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return hclust(algorithm, dataset, SingleLinkage.name);
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}
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public Container<E> completeLinkage(final AgglomerativeClustering algorithm, final Dataset<E> dataset) {
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return hclust(algorithm, dataset, CompleteLinkage.name);
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}
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}
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