コード例 #1
0
ファイル: SimpleTransformer.java プロジェクト: CaoAo/BeehiveZ
 protected ClusterNode mergeClusters(ClusterNode first, ClusterNode second) {
   for (Node node : second.getPrimitives()) {
     first.add(node);
     graph.setNodeAliasMapping(node.getIndex(), first);
   }
   graph.removeClusterNode(second);
   return first;
 }
コード例 #2
0
ファイル: SimpleTransformer.java プロジェクト: CaoAo/BeehiveZ
 /*
  * (non-Javadoc)
  *
  * @see
  * org.processmining.mining.fuzzymining.graph.transform.FuzzyGraphTransformer
  * #transform(org.processmining.mining.fuzzymining.graph.FuzzyGraph)
  */
 public void transform(MutableFuzzyGraph graph) {
   this.graph = graph;
   // clean up edges
   cleanUpEdges(threshold * 0.1, 1.0); // threshold * 0.3);
   // determine simplification victims
   ArrayList<Node> simplificationVictims = new ArrayList<Node>();
   Node n;
   for (int i = 0; i < graph.getNumberOfInitialNodes(); i++) {
     n = graph.getPrimitiveNode(i);
     if (n.getSignificance() < threshold) {
       simplificationVictims.add(n);
     }
   }
   // create clusters
   int clusterIndex = graph.getNumberOfInitialNodes() + 1;
   while (simplificationVictims.size() > 0) {
     ClusterNode cluster = new ClusterNode(graph, clusterIndex);
     graph.addClusterNode(cluster);
     clusterIndex++;
     boolean nodeAdded = true;
     while (nodeAdded == true) {
       nodeAdded = false;
       ArrayList<Node> clustered = new ArrayList<Node>();
       for (Node node : simplificationVictims) {
         if (shouldMergeWith(node, cluster) == true) {
           cluster.add(node);
           graph.setNodeAliasMapping(node.getIndex(), cluster);
           clustered.add(node);
           nodeAdded = true;
         }
       }
       simplificationVictims.removeAll(clustered);
     }
   }
   // merge clusters
   mergeAllClusters();
   // remove unary clusters
   for (int i = graph.getClusterNodes().size() - 1; i >= 0; i--) {
     ClusterNode cluster = graph.getClusterNodes().get(i);
     if (cluster.getPrimitives().size() == 1) {
       // unary cluster; remove
       for (int k = 0; k < graph.getNumberOfInitialNodes(); k++) {
         Node mapping = graph.getNodeMappedTo(k);
         if (mapping != null && mapping.equals(cluster)) {
           graph.setNodeAliasMapping(k, null);
         }
       }
       graph.removeClusterNode(cluster);
     }
   }
   // clean up edges
   cleanUpEdges(threshold, threshold);
 }
コード例 #3
0
ファイル: SimpleTransformer.java プロジェクト: CaoAo/BeehiveZ
 protected boolean shouldMerge(ClusterNode first, ClusterNode second) {
   if (first.equals(second)) {
     return false;
   } else if (first.directlyFollows(second) && second.directlyFollows(first)) {
     return true; // connected in both directions: merge
   } else {
     Set<Node> preFirst = first.getPredecessors();
     Set<Node> preSecond = second.getPredecessors();
     if (doSignificantlyOverlap(preFirst, preSecond)) {
       return true;
     }
     /*
      * HashSet<Node> preBoth = new HashSet<Node>();
      * preBoth.addAll(preFirst); preBoth.retainAll(preSecond);
      * if((preBoth.size() * 2) > (preFirst.size() + preSecond.size())) {
      * return true; }
      */
     Set<Node> postFirst = first.getSuccessors();
     Set<Node> postSecond = second.getSuccessors();
     return doSignificantlyOverlap(postFirst, postSecond);
     /*
      * HashSet<Node> postBoth = new HashSet<Node>();
      * postBoth.addAll(postFirst); postBoth.retainAll(postSecond);
      * if((postBoth.size() * 2) > (postFirst.size() +
      * postSecond.size())) { return true; } else { return false; }
      */
   }
 }
コード例 #4
0
ファイル: SimpleTransformer.java プロジェクト: CaoAo/BeehiveZ
 protected boolean shouldMergeWith(Node node, ClusterNode cluster) {
   if (cluster.getPrimitives().size() == 0) {
     return true; // always add first node
   }
   if (cluster.isDirectlyConnectedTo(node) == true && cluster.contains(node) == false) {
     double ownSignificance = 0.0;
     double otherSignificance = 0.0;
     double ownCorrelation = 0.0;
     double otherCorrelation = 0.0;
     // aggregate correlation and significance of edges between the node
     // in
     // question and connected nodes, separately for edges to/from
     // cluster and
     // to/from other nodes.
     for (int i = 0; i < graph.getNumberOfInitialNodes(); i++) {
       if (i == node.getIndex()) {
         continue; // ignore self-references
       }
       if (cluster.contains(graph.getPrimitiveNode(i))) {
         ownSignificance += graph.getBinarySignificance(node.getIndex(), i);
         ownSignificance += graph.getBinarySignificance(i, node.getIndex());
         ownCorrelation += graph.getBinaryCorrelation(node.getIndex(), i);
         ownCorrelation += graph.getBinaryCorrelation(i, node.getIndex());
       } else {
         otherSignificance += graph.getBinarySignificance(node.getIndex(), i);
         otherSignificance += graph.getBinarySignificance(i, node.getIndex());
         otherCorrelation += graph.getBinaryCorrelation(node.getIndex(), i);
         otherCorrelation += graph.getBinaryCorrelation(i, node.getIndex());
       }
     }
     // make a decision
     return (ownCorrelation > otherCorrelation || ownSignificance > otherSignificance);
   } else {
     // no connection - no merge.
     return false;
   }
 }