Semi-supervised linear discriminant analysis

被引：5

作者：

Toher, Deirdre ^{[2
]}

Downey, Gerard ^{[3
]}

Murphy, Thomas Brendan ^{[1
]}

机构：

[1] Univ Coll Dublin, Sch Math Sci, Dublin 4, Ireland

[2] Univ W England, Dept Math & Stat, Bristol BS16 1QY, Avon, England

[3] Teagasc Ashtown Food Res Ctr, Prepared Foods Dept, Dublin 15, Ireland

来源：

JOURNAL OF CHEMOMETRICS | 2011年 / 25卷 / 12期

基金：

爱尔兰科学基金会;

关键词：

classification; discriminant analysis; food authenticity; IDENTIFICATION; SELECTION; SPECTRA; ORIGIN;

D O I：

10.1002/cem.1408

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Fisher's linear discriminant analysis is one of the most commonly used and studied classification methods in chemometrics. The method finds a projection of multivariate data into a lower dimensional space so that the groups in the data are well separated. The resulting projected values are subsequently used to classify unlabeled observations into the groups.

引用

页码：621 / 630

页数：10

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