贝叶斯学习算法分类文本。基于朴素贝叶斯分类器的文本分类的通用算法，是目前所知文本分类算法中最有效的一类-Bayesian text classification algorithm. Based on Bayesian classifier of the common text classification algorithm, which is known text classification algorithm the most effective one category

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

首先，对CATEGORY中的txt文件分类； 其次，对多个txt文件中的英文文本进行分词； 最后，通过贝叶斯公式进行分类；-First, in the txt file CATEGORY classification Secondly, multiple txt files in English text word Finally, by Bayes formula to be classified

基于贝叶斯-KNN文本分类算法的设计与实现。 是贝叶斯和ＫＮＮ两种分类算法的结合。-Bayesian-KNN text categorization algorithm design and implementation. Bayes and KNN is a combination of two kinds of classification algorithms.