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我實現徑向佈局繪圖算法,根據mr.Andy的帕夫洛link[第18頁]爲什麼徑向樹佈局繪圖算法是交叉邊緣?
的問題是出版,我的結果包含交叉邊緣。這是不可接受的。我發現了一些解決方案,類似的問題link但我無法將它們實現到這個算法中(我將不得不改變整個解決方案)。另外,Andy Pavlo先生的算法應該能夠解決這個問題。當我們看看其算法的結果時,這裏沒有交叉的邊緣。我究竟做錯了什麼?我錯過了什麼嗎?先謝謝你。
我實現算法的
public void RadialPositions(Tree<string> rootedTree, Node<string> vertex, double alfa, double beta,
List<RadialPoint<string>> outputGraph)
{
//check if vertex is root of rootedTree
if (vertex.IsRoot)
{
vertex.Point.X = 0;
vertex.Point.Y = 0;
outputGraph.Add(new RadialPoint<string>
{
Node = vertex,
Point = new Point
{
X = 0,
Y = 0
},
ParentPoint = null
});
}
//Depth of vertex starting from 0
int depthOfVertex = vertex.Depth;
double theta = alfa;
double radius = Constants.CircleRadius + (Constants.Delta * depthOfVertex);
//Leaves number in the subtree rooted at v
int leavesNumber = BFS.BreatFirstSearch(vertex);
foreach (var child in vertex.Children)
{
//Leaves number in the subtree rooted at child
int lambda = BFS.BreatFirstSearch(child);
double mi = theta + ((double)lambda/leavesNumber * (beta - alfa));
double x = radius * Math.Cos((theta + mi)/2.0);
double y = radius * Math.Sin((theta + mi)/2.0);
//setting x and y
child.Point.X = x;
child.Point.Y = y;
outputGraph.Add(new RadialPoint<string>
{
Node = child,
Point = new Point
{
X = x,
Y = y,
Radius = radius
},
ParentPoint = vertex.Point
});
if (child.Children.Count > 0)
{
child.Point.Y = y;
child.Point.X = x;
RadialPositions(rootedTree, child, theta, mi, outputGraph);
}
theta = mi;
}
}
BFS算法求葉
public static int BreatFirstSearch<T>(Node<T> root)
{
var visited = new List<Node<T>>();
var queue = new Queue<Node<T>>();
int leaves = 0;
visited.Add(root);
queue.Enqueue(root);
while (queue.Count != 0)
{
var current = queue.Dequeue();
if (current.Children.Count == 0)
leaves++;
foreach (var node in current.Children)
{
if (!visited.Contains(node))
{
visited.Add(node);
queue.Enqueue(node);
}
}
}
return leaves;
}
初始呼叫
var outputPoints = new List<RadialPoint<string>>();
alg.RadialPositions(tree, tree.Root,0, 360, outputPoints);
萬分感謝,作品完美。我根本沒有想到這一點。 – Arsiwaldi