用来进行主成分分析，实现数据压缩功能，也可以做特征提取与分类-Be used for principal component analysis, data compression, you can also do feature extraction and classification

详细介绍了贝叶斯公式在自动文本分类领域的使用，并且提到了关于互信息特征提取的方法。以及其分类的例子。-Bayesian formula described in detail in the field of automatic text categorization of the use of, and reference information on each feature extraction method. As well as examples of their classificat

信号维数的估计，Relief计算分类权重，是学习PCA特征提取的很好的学习资料。- Signal dimension estimates, Relief computing classification weight, Is a good learning materials to learn PCA feature extraction.