public void drawCluster(Cluster cluster) {
int index = clusters.indexOf(cluster);
if (index != -1) {
cluster.y = maxY;
cluster.x = minX + index * factor;
if (cluster.size() > 1) g.setColor(Color.RED);
else g.setColor(Color.BLACK);
g.drawRect(cluster.x - 1, cluster.y - cluster.size(), 2, 1 + cluster.size());
} else {
Cluster left = cluster.getLeft();
Cluster right = cluster.getRight();
drawCluster(left);
drawCluster(right);
int yBar = minY + (int) ((maxY - minY) * (cluster.getSimilarity() / threshold));
g.setColor(Color.DARK_GRAY);
if (left.y > yBar) {
g.drawLine(left.x, left.y - 1, left.x, yBar);
writeMap(left, yBar);
}
if (right.y > yBar) {
g.drawLine(right.x, right.y - 1, right.x, yBar);
writeMap(right, yBar);
}
g.setColor(Color.BLACK);
g.drawLine(left.x, yBar, right.x, yBar);
cluster.x = (right.x + left.x) / 2;
cluster.y = yBar;
}
}
private ArrayList<Cluster> getClusters(Cluster clustering, float threshold) {
ArrayList<Cluster> clusters = new ArrayList<Cluster>();
// First determine the clusters
Stack<Cluster> stack = new Stack<Cluster>();
stack.push(clustering);
while (!stack.empty()) {
Cluster current = stack.pop();
if (current.size() == 1) {
clusters.add(current); // singleton clusters
} else {
if (current.getSimilarity() >= threshold) {
clusters.add(current);
} else {
// current.size() != 1 !!!
stack.push(current.getLeft());
stack.push(current.getRight());
}
}
}
return clusters;
}
