libsvm中文声明对流行的SVM软件libsvm的详细说明会对大家有所帮助

ClustanGraphics聚类分析工具。提供了11种聚类算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean Proximity Centroid (UPGMC) Median (WPGMC) Increase in Sum of Squares (Ward s Method) Sum of Squares Flexible (ß space distortion parameter) Density (or k-linkage, density-seeking mode analysis) -ClustanGraphics clustering analysis tools. Provides 11 kinds of clustering algorithms. Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean ProximityCentroid (UPGMC) Median (WPGMC) Increase in Sum of Squares (Ward s Method) Sum of SquaresFlexible (? space distortion parameter) Density (or k-linkage, density-seeking mode analysis)

用高斯和离子滤波来跟踪视频图像中的移动对象，和模式识别有关-And ions with Gaussian filtering to track video images of moving objects, and pattern recognition on the

基于java实现的遗传算法的源代码，利于初学者了解GA以及如何用java实现。-Java-based genetic algorithm realize the source code, which will help beginners learn how to use GA as well as realize java.

关于模式识别的经典书籍，英文版的，很值得看-On Pattern Recognition classic books, in English, is worth look

使用C语言实现神经网络算法，针对BP神经网络的特点进行设计和开发，具有比较好的性能-use c language to develop neural network,good to use.

神经网络的应用程序，里面实现有一定的价值，有较强的参考价值和利用价值-Neural network applications, which achieve a certain degree of value, have a stronger reference to the value and use value

ICA经典文章,入门必看。受益，高阶矩统计牲在信号处理中的应用，详细介绍许多重要概念。-ICA classic article, the entry Watchable. Benefit Higher Moments statistical offerings in signal processing applications, detailed many important concepts.

针对热电厂锅炉补水水处理控制程序,用simens s224,包括多介质,反渗透,混床控制 -Water treatment for power plant boiler control procedures, and simens s224, including multi-media, reverse osmosis, mixed bed control

本程序是基本的MATLB退火模拟算法，主要应用于函数优化，效果较好。-This procedure is a basic MATLB simulated annealing algorithm, mainly used in function optimization, better.