/** * Constructs a ClutoTree diaplay which is initialized with tableModel as the data model, and the * given selection model. * * @param clutoSolution The clustering solution * @param tableContext The context which manages views and selections. * @param tableModel the data model for the parallel coordinate display */ public ClutoTree(ClutoSolution clutoSolution, TableContext tableContext, TableModel tableModel) { ctx = tableContext; tm = tableModel; lsm = ctx.getRowSelectionModel(tm); // labelModel int ncol = tm.getColumnCount(); for (int i = 0; i < ncol; i++) { labelModel.addElement(tm.getColumnName(i)); } setLayout(new BorderLayout()); btnP = new JToolBar(); add(btnP, BorderLayout.NORTH); labelChoice.addItemListener( new ItemListener() { public void itemStateChanged(ItemEvent e) { if (e.getStateChange() == ItemEvent.SELECTED) { labelColumn = 0; String ln = (String) e.getItem(); if (ln != null) { for (int c = 0; c < tm.getColumnCount(); c++) { if (ln.equals(tm.getColumnName(c))) { labelColumn = c; break; } } } graph.invalidate(); validate(); repaint(); } } }); btnP.add(labelChoice); graph = new SimpleGraph(); graph.getGraphDisplay().setOpaque(true); graph.getGraphDisplay().setBackground(Color.white); graph.getGraphDisplay().setGridColor(new Color(220, 220, 220)); graph.showGrid(false); graph.showAxis(BorderLayout.WEST, false); graph.showAxis(BorderLayout.EAST, true); graph.getAxisDisplay(BorderLayout.EAST).setZoomable(true); graph.getAxisDisplay(BorderLayout.EAST).setAxisLabeler(labeler); ((LinearAxis) graph.getYAxis()).setTickIncrement(-1.); graph.getAxisDisplay(BorderLayout.SOUTH).setZoomable(true); gs = new GraphSegments(); gs.setColor(Color.blue); idxSelColor = new IndexSelectColor(Color.cyan, null, new DefaultListSelectionModel()); gs.setIndexedColor(idxSelColor); graph.addGraphItem(gs); graph.getGraphDisplay().addMouseListener(ma); add(graph); if (lsm != null) { lsm.addListSelectionListener(selListener); } display(makeTree(clutoSolution)); }
public void mouseReleased(MouseEvent e) { current = e.getPoint(); // intersect with graph Rectangle selrect = new Rectangle(start.x, start.y, current.x - start.x, current.y - start.y); int[] gi = gs.getIndicesAt(selrect, graph.getXAxis(), graph.getYAxis()); DefaultListSelectionModel rsm = new DefaultListSelectionModel(); if (gi != null) { rsm.setValueIsAdjusting(true); for (int j = 0; j < gi.length; j++) { // find node and select segs for node and all descendents int nodeidx = gi[j] / 2; TreeNode tn = nodemap[nodeidx]; selectTraverse(tn, rsm); } rsm.setValueIsAdjusting(false); } if (ctx != null) { // Merge this selection with the table selection list // using the current set selection operator ColumnMap cmap = ctx.getColumnMap(tm, 0); if (cmap != null) { cmap.selectValues(rsm); } } if (ctx != null) { // restore the original selection set operator ctx.getSetOperator(tm).setSetOperator(prevSetOp); } repaint(); }
/** * Display the tree rooted at node tn in the graph as a dendogram. * * @param tn the root node of the tree to display */ private void display(TreeNode tn) { double[] segs = dendogram(tn); double distance = 10.; if (tn instanceof Cluster) { distance = ((Cluster) tn).getSimilarity(); } else { distance = ((DefaultMutableTreeNode) tn).getDepth(); } gs.setData(segs, GraphDataModel.FORMAT_XY); graph.getXAxis().setMin(distance); graph.getXAxis().setMax(0.); graph.getYAxis().setMin(tm.getRowCount() - .5); graph.getYAxis().setMax(-.5); repaint(); }