贝叶斯判别与逐步分类判别相结合的一个应用

Application of Combining Bayesian Discriminant and Step-by-Step Classification Discriminant

首先对贝叶斯判别和逐步分类判别作了简单介绍,在分析两种判别方法的优势后,提出了将二者相结合的运用方法,先应用逐步分类判别剔除多余变量,再利用贝叶斯判别构造判别式,给出贝叶斯逐步分类判别的具体计算步骤,通过计算实例说明此种方法是行之有效的.

This paper first briefly introduces Bayesian discriminant and step-by-step classification discriminant seperately. It provides then an practical method mixed with the two after anylyzing the advantages of them. In the method, we first use stepby-step classification discriminant to get rid of spare variables, then use bayesian discriminant to make up the discriminant function. After that, we provide steps in the caltulation of Bayesian step-by-step classification discriminant, and at last, use examples to show this method is valid.