哈夫曼树及哈夫曼编码的实现（java)

若将树中结点赋给一个有着某种含义的数值，则这个数值称为该结点的权.
哈夫曼树的构造：

假设有n个权值，则构造出的哈夫曼树有n个叶子结点。 n个权值分别设为 w1、w2、…、wn，则哈夫曼树的构造规则为：　
(1) 将w1、w2、…，wn看成是有n 棵树的森林(每棵树仅有一个结点)；　　
(2) 在森林中选出两个根结点的权值最小的树合并，作为一棵新树的左、右子树，且新树的根结点权值为其左、右子树根结点权值之和；　　
(3)从森林中删除选取的两棵树，并将新树加入森林；　　
(4)重复(2)、(3)步，直到森林中只剩一棵树为止，该树即为所求得的哈夫曼树

import java.util.ArrayDeque;  
import java.util.ArrayList;  
import java.util.Collections;  
import java.util.List;  
import java.util.Queue;  

public class HuffmanTree<T> {  
   //构造哈夫曼树
    public static <T> Node<T> createTree(List<Node<T>> nodes){  
        while(nodes.size() > 1){  
            Collections.sort(nodes);  
            Node<T> left = nodes.get(nodes.size()-1);  
            Node<T> right = nodes.get(nodes.size()-2);  
            Node<T> parent = new Node<T>(null, left.getWeight()+right.getWeight());  
            parent.setLeft(left);  
            parent.setRight(right);  
            nodes.remove(left);  
            nodes.remove(right);  
            nodes.add(parent);  
        }  
        return nodes.get(0);  
    }  

    //递归生成Huffman编码
     public  static<T> void generateHuffmanCode(Node<T> root){
	if (root==null) return;
        if(root.getLeft()!=null) 
            root.getLeft().setCoding(root.getCoding()+"0");
        if(root.getRight()!=null) 
           root.getRight().setCoding(root.getCoding()+"1");

        generateHuffmanCode(root.getLeft());
	generateHuffmanCode(root.getRight());
     }


    public static <T> List<Node<T>> breadth(Node<T> root){  //广度优先遍历哈夫曼树
        List<Node<T>> list = new ArrayList<Node<T>>();  
        Queue<Node<T>> queue = new ArrayDeque<Node<T>>();  

        if(root != null){  
            queue.offer(root);  
        }  

        while(!queue.isEmpty()){  
            list.add(queue.peek());  
            Node<T> node = queue.poll();  

            if(node.getLeft() != null){  
                queue.offer(node.getLeft());  
            }  

            if(node.getRight() != null){  
                queue.offer(node.getRight());  
            }  
        }  
        return list;  
    }  
} 

//哈夫曼树节点
public class Node<T> implements Comparable<Node<T>> {  
    private T data;  
    private double weight;  
    private String coding = "";	//哈夫曼编码
    private Node<T> left;  
    private Node<T> right;  

    public Node(T data, double weight){  
        this.data = data;  
        this.weight = weight;  
    }  

    public T getData() {  
        return data;  
    }  

    public void setData(T data) {  
        this.data = data;  
    }  

    public double getWeight() {  
        return weight;  
    }  

    public void setWeight(double weight) {  
        this.weight = weight;  
    }  

    public Node<T> getLeft() {  
        return left;  
    }  

    public void setLeft(Node<T> left) {  
        this.left = left;  
    }  

    public Node<T> getRight() {  
        return right;  
    }  

    public void setRight(Node<T> right) {  
        this.right = right;  
    }  

    public String getCoding(){ return coding;}
    public void setCoding(String coding){ this.coding = coding;}	

    @Override  
    public String toString(){  
        return "data:"+this.data+";weight:"+this.weight+";Coding:"+this.coding;  
    }  

    @Override  
    public int compareTo(Node<T> other) {  
        if(other.getWeight() > this.getWeight()){  
            return 1;  
        }  
        if(other.getWeight() < this.getWeight()){  
            return -1;  
        }  

        return 0;  
    }  
}  

例：
假设一个文本文件中只包含7个字符{A，B，C，D，E，F，G}，这7个字符在文本中出现的次数为{5，24，7，17，34，5，13}，求这些字符的哈夫曼编码。

[img]http://dl.iteye.com/upload/attachment/0072/5869/bfedaeeb-67a6-3ad4-8479-7cc494948efb.gif[/img]

//上图的测试：

import java.util.ArrayList;  
import java.util.List;  

public class Test {  
    public static void main(String[] args) {  
        int a[]={5,24,7,17,34,5,13};
        String s[]={"A","B","C","D","E","F","G"};
        List<Node<String>> list1 = new ArrayList<Node<String>>();  
        for(int i=0;i<a.length;i++)
              list1.add(new Node<String>(s[i],a[i]));
         root = HuffmanTree.createTree(list1);  
        HuffmanTree.generateHuffmanCode(root);
        List<Node<String>> list2=HuffmanTree.breadth(root);
        for(Node<String> node: list2)
           System.out.println(node);

    }  
}  

运行结果：
data:null;weight:105.0;Coding:
data:null;weight:41.0;Coding:0
data:null;weight:64.0;Coding:1
data:D;weight:17.0;Coding:00
data:B;weight:24.0;Coding:01
data:null;weight:30.0;Coding:10
data:E;weight:34.0;Coding:11
data:G;weight:13.0;Coding:100
data:null;weight:17.0;Coding:101
data:C;weight:7.0;Coding:1010
data:null;weight:10.0;Coding:1011
data:F;weight:5.0;Coding:10110
data:A;weight:5.0;Coding:10111

下载源码：