使用Matlab实现，包括一维特征最小错误率bayes分类器；二维特征最小错误率bayes分类器；二维特征最小风险bayes分类器以及使用的数据集合。-Using the Matlab implementation, including the minimum error rate of one-dimensional characteristics of bayes classifier two-dimensional characteristics of the minimum error

最小错误率和最小风险贝叶斯分类器，附带示例数据-Minimum error rate and minimum risk Bayes classifier, with sample data

基于最小错误率，和最小风险的Bayes分类器Matlab 实现 -Bayes Matlab

贝叶斯决策包含最小风险和最小错误概率两种情况的仿真-Bayesian decision-making included the minimum risk and minimum error probability of the two simulation

通过设计线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征，设计支持向量机对给定样本进行有效分类并分析结果。-By designing a linear classifier minimum risk Bayes classifier supervised learning method hierarchical cluster analysis K-L transform to extract efficient features, designed to