数据挖掘算法，源代码，C++语言版。

本压缩软件有vc++图象处理编程的源代码，相信会对从事图像处理的各位有所帮助- This compression software has the vc imagery processing programming the source code, believed can to be engaged in picture processing each position to have the help

关联规则中的频繁项集生成算法Mafia1.4版本，一个效果非常好的算法，可在linux和windows下编译运行。-association rules of frequent item sets Algorithm Mafia1.4 version, a very good effect algorithm, and the Linux compiler running under windows.

The tca package is a Matlab program that implements the tree-dependent component analysis (TCA) algorithms that extends the independent component analysis (ICA), where instead of looking for a linear transform that makes the data components independent, we are looking for components that can be best fitted in a tree structured graphical model. The TCA model can be applied in any situation where the data can be assumed to have been transformed by an unknown linear transformation.

模式识别中的感知机算法实现，在matlab下实现-Pattern Recognition Perceptron algorithm in matlab to achieve

一个反向传播算法的的原程序！值得一看，大家自己看看！-a back-propagation algorithm of the original program! An eye-catcher, we see for himself!

这个是SA模拟退火求函数极值用c++编译的程序-the simulated annealing SA is seeking function using extreme procedures c compiler

汉字识别系统，非常简单，网络上看到的 一起学学啊，对模式的一个简单匹配.-Chinese character recognition system is very simple, see the Web together to learn ah, the model of a simple matching.

matlab小程序，为初学者提供一些常用的例子-There provide some basic matlab programs that will help a biginer a lot.

针对现有遗传算法在多维非线性优选方面的不足，本文提出了一种基于小生境进化算法（NEA）的非线性优选模型，探讨了NEA算法的参数选择原则。通过大量仿真和比较，表明算法在复杂非线性优选中具有快速、高效、鲁棒性强的特点，并能在全局范围内有效搜索所有最优解。 -against existing genetic algorithms in three-dimensional nonlinear optimization for the shortage, the paper presents a niche evolutionary algorithm (NEA) nonlinear optimization model, the NEA on the parameters chosen algorithm principle. Through simulation and large, the algorithm shown in a complex nonlinear optimization is fast, efficient, robust features of the strong, and the global scope effective search all the optimal solution.

文本倾向性分析程序，由中国科学院计算所开发，基于LDA模型，不可外泄的内部程序，冒着被开除的风险与大家分享，欲下从速。-Tendentious text analysis program, developed by the Chinese Academy of Sciences calculated, based on the LDA model, the internal procedures can not be compromised, despite the risk of being fired to share with you, as soon as possible For the next.