| 1 | package weka.clusterers.forMetisMQI; | 
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| 2 |  | 
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| 3 | import java.util.HashSet; | 
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| 4 | import java.util.Set; | 
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| 5 | import java.util.Stack; | 
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| 6 |  | 
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| 7 | import weka.clusterers.forMetisMQI.coarse.Coarse; | 
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| 8 | import weka.clusterers.forMetisMQI.coarse.CoarserGraphElement; | 
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| 9 | import weka.clusterers.forMetisMQI.graph.Bisection; | 
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| 10 | import weka.clusterers.forMetisMQI.graph.Node; | 
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| 11 | import weka.clusterers.forMetisMQI.graph.UndirectedGraph; | 
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| 12 |  | 
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| 13 | public class GraphAlgorithms { | 
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| 14 |  | 
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| 15 | public Bisection KL(UndirectedGraph g) { | 
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| 16 | Bisection partition = new Bisection(g); | 
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| 17 | Bisection result = partition; | 
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| 18 | int bestEdgeCut = Integer.MAX_VALUE; | 
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| 19 | Node u = partition.getCandidate(); | 
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| 20 | while (u != null) { | 
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| 21 | partition.swap(u); | 
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| 22 | if (partition.edgeCut() <= bestEdgeCut) { | 
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| 23 | bestEdgeCut = partition.edgeCut(); | 
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| 24 | result = partition.copy(); | 
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| 25 | } | 
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| 26 | u = partition.getCandidate(); | 
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| 27 | } | 
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| 28 | return result; | 
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| 29 | } | 
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| 30 |  | 
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| 31 | public void METIS(UndirectedGraph g) { | 
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| 32 | //              MQI.viewGraph(g); | 
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| 33 | Set<Set<Node>> clusters = new HashSet<Set<Node>>(); | 
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| 34 | for (int i = 0; i < 8; i++) { | 
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| 35 | Coarse.setFinerSize(8); | 
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| 36 | Stack<CoarserGraphElement> stack = Coarse.coarse(g); | 
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| 37 | Bisection partition = null; | 
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| 38 | if (stack.size() > 0) { | 
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| 39 | partition = KL(stack.peek().getContracted()); | 
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| 40 | //                              System.out.println(partition.toString()); | 
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| 41 | partition = new Uncoarse().uncoarse(stack, partition); | 
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| 42 | //                              System.out.println(partition.toString()); | 
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| 43 | Set<Node> cluster = MQI.mqi(partition); | 
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| 44 | clusters.add(cluster); | 
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| 45 | //                              Set<Set<Node>> foundCluster = new HashSet<Set<Node>>(); | 
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| 46 | //                              foundCluster.add(cluster); | 
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| 47 | //                              MQI.viewClusters(g, foundCluster); | 
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| 48 | } | 
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| 49 | } | 
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| 50 | MQI.viewClusters(g, clusters); | 
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| 51 | } | 
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| 52 |  | 
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| 53 | } | 
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