搜索资源列表
DrawTree
- DELPHI 画树形节点的源码，对学画图等有一定的帮助-DELPHI source node tree painting, drawing, such as school will certainly help
mintree
- 一个有 n 个结点的连通图的生成树是原图的极小连通子图，且包含原图中的所有 n 个结点，并且有保持图联通的最少的边。-An n-node connected graph of the minimal spanning tree is the original connected subgraph, and contains all the n original nodes, and there are plans to maintain at least the edge of Unicom.
kdtree
- 在图像处理中，用最优节点优先法，建造kd树，用于特征点匹配-In the image processing, the optimal node with priority method, build kd tree, used for matching feature points
kdtree
- 特征点匹配时，采用构造KD-tree，用最优节点优先法寻找最佳匹配点-Matching feature points, the tectonic KD-tree, with the optimal node is preferred method to search for the optimal matching point
huffman
- 功能：用huffman tree去编码一个文档 算法：记录每次排序前的顺序从而构建树结构，用排序前位置为1记录各个节点-function:Encoding a document using huffman tree algorithm:records before each sort order to build the tree structure, sorted former position as a record of each node
Huffman-encoding
- 哈夫曼树可用于构造使电文的编码总长最短的编码方案。具体做法如下：设需要编码的字符集合为{d1，d2，…，dn}，它们在电文中出现的次数或频率集合为{w1，w2，…，wn}，以d1，d2，…，dn作为叶结点，w1，w2，…，wn作为它们的权值，构造一棵哈夫曼树，规定哈夫曼树中的左分支代表0，右分支代表1，则从根结点到每个叶结点所经过的路径分支组成的0和1的序列便为该结点对应字符的编码，我们称之为哈夫曼编码。-Huffman encoding can be used to construct the