A NEW DISCRIMINANT TECHNIQUE - BAYES-FISHER DISCRIMINATION

被引：2

作者：

HUANG, XN ^{[1
]}

LI, BB ^{[1
]}

机构：

[1] SHANGHAI JIAO TONG UNIV,INST SYST ENGN,SHANGHAI,PEOPLES R CHINA

来源：

BIOMETRICS | 1991年 / 47卷 / 02期

关键词：

BAYES DISCRIMINANT; FISHER DISCRIMINANT; PRIOR PROBABILITY; THRESHOLD VALUE; WEIGHTED REGRESSION;

D O I：

10.2307/2532160

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this paper, a new discriminant technique, called Bayes-Fisher (B-F) discrimination, is presented to deal with the discrimination problem involving k distinct populations when the prior probabilities p(i) of the k distinct populations G(i) (i = 1, ..., k) are known while the distributions of G(i) are unknown. The relationship between the B-F discriminant and other discriminants is investigated. It is shown that B-F discrimination is a reasonable extension from Fisher's when the prior probabilities are known. A practical example is given.

引用

页码：741 / 744

页数：4

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