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
收藏
页码：741 / 744
页数：4
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