This package contains Matlab m-files for learning finite Gaussian mixtures from sample data and performing data classification with Mahalanobis distance or Bayesian classifiers. Each class in training set is learned individually with one of the three

电子书，一篇论文，----用于分类规则挖掘的贝叶斯信念构造算法-For Classification Rule Mining Algorithm for Constructing Bayesian Belief

使用python语言 ， 实现对iris数据集的贝叶斯分类-Using the python language, the Bayesian classification of the iris dataset is achieved