Examples of weka.gui.graphvisualizer.HierarchicalBCEngine

weka.gui.graphvisualizer.HierarchicalBCEngine

This class lays out the vertices of a graph in a hierarchy of vertical levels, with a number of nodes in each level. The number of levels is the depth of the deepest child reachable from some parent at level 0. It implements a layout technique as described by K. Sugiyama, S. Tagawa, and M. Toda. in "Methods for visual understanding of hierarchical systems", IEEE Transactions on Systems, Man and Cybernetics, SMC-11(2):109-125, Feb. 1981.

There have been a few modifications made, however. The crossings function is changed as it was non-linear in time complexity. Furthermore, we don't have any interconnection matrices for each level, instead we just have one big interconnection matrix for the whole graph and a int[][] array which stores the vertices present in each level. @author Ashraf M. Kibriya (amk14@cs.waikato.ac.nz) @version $Revision: 7059 $ - 24 Apr 2003 - Initial version (Ashraf M. Kibriya)

      FastVector m_nodes = new FastVector();
      FastVector m_edges = new FastVector();
      BIFParser bp = new BIFParser(m_BayesNet.toXMLBIF03(), m_nodes, m_edges);
      bp.parse();
      updateStatus();
      m_layoutEngine = new HierarchicalBCEngine(m_nodes, m_edges, m_nPaddedNodeWidth, m_nNodeHeight);
      m_layoutEngine.addLayoutCompleteEventListener(this);
      m_layoutEngine.layoutGraph();
    } catch (Exception e) {
      e.printStackTrace();
    }

      FastVector m_nodes = new FastVector();
      FastVector m_edges = new FastVector();
      BIFParser bp = new BIFParser(m_BayesNet.toXMLBIF03(), m_nodes, m_edges);
      bp.parse();
      updateStatus();
      m_layoutEngine = new HierarchicalBCEngine(m_nodes, m_edges, m_nPaddedNodeWidth, m_nNodeHeight);
      m_layoutEngine.addLayoutCompleteEventListener(this);
      m_layoutEngine.layoutGraph();
    } catch (Exception e) {
      e.printStackTrace();
    }

      FastVector m_nodes = new FastVector();
      FastVector m_edges = new FastVector();
      BIFParser bp = new BIFParser(m_BayesNet.toXMLBIF03(), m_nodes, m_edges);
      bp.parse();
      updateStatus();
      m_layoutEngine = new HierarchicalBCEngine(m_nodes, m_edges, m_nPaddedNodeWidth, m_nNodeHeight);
      m_layoutEngine.addLayoutCompleteEventListener(this);
      m_layoutEngine.layoutGraph();
    } catch (Exception e) {
      e.printStackTrace();
    }

Examples of weka.gui.graphvisualizer.HierarchicalBCEngine

Related Classes of weka.gui.graphvisualizer.HierarchicalBCEngine