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matlab贝叶斯判别

于 2022-02-26 发布 文件大小:19.34 kB
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对于一个两类分类问题,当n=100时候,用mvnrnd()函数随机产生两类样本;每一类的样本容量不小于100;2)设计最大似然估计算法对两类类条件概率密度函数进行估计;3)设计非参数估计算法对两类的类条件概率密度进行估计(任选Parzen窗法或kn-近邻法之一),并分析样本数量、窗宽、k等因素对概率密度函数估计的影响;4)分别用2)、3)中估计的类条件概率密度函数设计最小错误概率贝叶斯分类器,实现对两类样本的分类。贝叶斯判别在数据中的应用

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