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An open source implementation of the Watset algorithm for fuzzy graph clustering.
/*
* Copyright 2018 Dmitry Ustalov
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*/
package org.nlpub.watset.graph;
import org.jgrapht.Graph;
import org.jgrapht.alg.interfaces.ClusteringAlgorithm;
import java.util.Collections;
import static org.jgrapht.GraphTests.requireUndirected;
/**
* A trivial clustering algorithm that puts every node together in a single large cluster.
*
* @param the type of nodes in the graph
* @param the type of edges in the graph
*/
public class TogetherClustering implements ClusteringAlgorithm {
/**
* Builder for {@link TogetherClustering}.
*
* @param the type of nodes in the graph
* @param the type of edges in the graph
*/
@SuppressWarnings({"unused", "UnusedReturnValue"})
public static class Builder implements ClusteringAlgorithmBuilder> {
@Override
public TogetherClustering apply(Graph graph) {
return new TogetherClustering<>(graph);
}
}
/**
* Create a builder.
*
* @param the type of nodes in the graph
* @param the type of edges in the graph
* @return a builder
*/
public static Builder builder() {
return new Builder<>();
}
/**
* The graph.
*/
protected final Graph graph;
/**
* Set up the trivial clustering algorithm that puts every node together in a single large cluster.
*
* @param graph the graph
*/
public TogetherClustering(Graph graph) {
this.graph = requireUndirected(graph);
}
@Override
public Clustering getClustering() {
return new ClusteringImpl<>(Collections.singletonList(graph.vertexSet()));
}
}
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