// Implements a hierarchical layout using the cluster (or dendogram) algorithm.
d3.layout.cluster = function() {
var hierarchy = d3.layout.hierarchy().sort(null).value(null),
separation = d3_layout_treeSeparation,
size = [1, 1]; // width, height
function cluster(d, i) {
var nodes = hierarchy.call(this, d, i),
root = nodes[0],
previousNode,
x = 0,
kx,
ky;
// First walk, computing the initial x & y values.
d3_layout_treeVisitAfter(root, function(node) {
var children = node.children;
if (children && children.length) {
node.x = d3_layout_clusterX(children);
node.y = d3_layout_clusterY(children);
} else {
node.x = previousNode ? x += separation(node, previousNode) : 0;
node.y = 0;
previousNode = node;
}
});
// Compute the left-most, right-most, and depth-most nodes for extents.
var left = d3_layout_clusterLeft(root),
right = d3_layout_clusterRight(root),
x0 = left.x - separation(left, right) / 2,
x1 = right.x + separation(right, left) / 2;
// Second walk, normalizing x & y to the desired size.
d3_layout_treeVisitAfter(root, function(node) {
node.x = (node.x - x0) / (x1 - x0) * size[0];
node.y = (1 - node.y / root.y) * size[1];
});
return nodes;
}
cluster.separation = function(x) {
if (!arguments.length) return separation;
separation = x;
return cluster;
};
cluster.size = function(x) {
if (!arguments.length) return size;
size = x;
return cluster;
};
return d3_layout_hierarchyRebind(cluster, hierarchy);
};
function d3_layout_clusterY(children) {
return 1 + d3.max(children, function(child) {
return child.y;
});
}
function d3_layout_clusterX(children) {
return children.reduce(function(x, child) {
return x + child.x;
}, 0) / children.length;
}
function d3_layout_clusterLeft(node) {
var children = node.children;
return children && children.length ? d3_layout_clusterLeft(children[0]) : node;
}
function d3_layout_clusterRight(node) {
var children = node.children, n;
return children && (n = children.length) ? d3_layout_clusterRight(children[n - 1]) : node;
}