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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
【摘要】 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.
【Abstract】 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 step-by-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.
【基金】 国家自然科学基金资助项目(10471096)
- 【文献出处】 沈阳师范大学学报(自然科学版) ,Journal of Shenyang Normal University(Natural Science Edition) , 编辑部邮箱 ,2008年04期
- 【分类号】O212
- 【被引频次】6
- 【下载频次】272