摘要
Ｆｉｓｈｅｒ判别分析是多元分析的一种重要方法，在医学领域中多用于两类判别。本文就多维数据的两类判别问题，针对如何提高判断正确率提出了两种可行的方法，并结合临床实例加以验证。
Fisher distiminant analysis is an important method in multivarite analysis. It is mostly used to distinguish two different classes in the medical field. In this paper,two practical methods for the problem of two classes of discriminant were developed to analyse multiple data for establishing a discriminant function with higher right discriminant rate,and then,the methods were tested by a clinical instance.
关键词
FISHER判别分析
判别函数
主成分分析
Fisher discriminant analysis
discriminant function
principal component analysis
