后缀树构造程序，输入字符串，产生该字符串的后缀树结构

Web控件（服务器控件实例源代码）很好用的哦-Web Controls (Server Control Examples of source code) Oh, well used

Windows Mobile 电源管理相关-Windows Mobile power management-related

面向对象（每个子目录对应于一个项目）很实用的哦-Object-oriented (one for each subdirectory that corresponds to a project) Oh, very practical

工作的 php 代码，就像 的克隆，易于设置，

Roman numeral converter using Visual Basic 6

一个优秀的网格控件，可以完成类似于EXCEL的表格功能-an excellent grid control, to be completed forms similar to the Excel function

messageBox.show显示（“你好世界”）；

ADO.NET简单练习源码功能介绍：    一个ADO.NET的简单练习。数据库表以员工列表为例，没有使用三层架构模式，sqlhelper、dal、model等都有涉及。实现了数据的增、删、改、查功能，每个功能都有一个采用存储过程实现的方法。存储过程写的比较简单，为了练习上的方便采用了WinForm形式。大家可以继续完善其它界面方式。注意：    开发环境为Visual Studio 2010,数据库为SQL Server 2008，数据库文件在文件夹中附加就行。

主要是利用Microsoft Speech SDK进行二次开发，写的一个语音识别的小程序- AppWizard has created this Myspeech application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your Myspeech application. Myspeech.dsp This file (the project file) contains information at the project level and is used to build a single project or subproject. Other users can share the project (.dsp) file, but they should export the makefiles locally. Myspeech.h This is the main header file for the application. It includes other project specific headers (including Resource.h) and declares the CMyspeechApp application class. Myspeech.cpp This is the main application source file that contains the application class CMyspeechApp. Myspeech.rc This is a listing of al

FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition. FCM in the introduction prior to the specific algorithm we first introduce some basic knowledge of fuzzy sets.