/**
* 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();
}