代码是实现支持向量机的分类功能，主要提供给研究者使用，把支持向量当做一个工具，而不用自己进行支持向量机的原理研究和编码。代码是Linux下的版本，语言是C/C++。-The code is to achieve support vector machine classification, mainly for researchers to use, the support vector as a tool, rather than themselves Principles Study on S

对传统的支持向量机分类器的改进,利用了半监督学习的方法，可以极大的提高分类效率。-The traditional support vector machine classifiers is improved with a semi-supervised learning methods, can greatly improve classification efficiency.

unix下开发的多分类支持向量机的源程序，程序应用很灵活，编译后即可使用。-unix developed under the multi-class Support Vector Machine source, the program application is very flexible and can be used after compilation.