PLS-DA - A MATLAB GUI tool for hard and soft approaches to partial least squares discriminant analysis

被引：60

作者：

Zontov, Y., V ^{[1
,4
]}

Rodionova, O. Ye ^{[2
]}

Kucheryavskiy, S., V ^{[3
]}

Pomerantsev, A. L. ^{[2
]}

机构：

[1] Natl Res Univ Higher Sch Econ, Moscow, Russia

[2] RAS, Semenov Fed Res Ctr Chem Phys, Moscow, Russia

[3] Aalborg Univ, Esbjerg, Denmark

[4] Fed Inst Ind Property FIPS, Moscow, Russia

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 2020年 / 203卷

关键词：

Soft and hard partial least squares discriminant analysis (PLS-DA); MATLAB tool;

D O I：

10.1016/j.chemolab.2020.104064

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An open source MATLAB tool implementing the standard Partial least squares discriminant analysis (PLS-DA) method as well as its recent developments, known as multiclass PLS-DA in hard and soft versions, is presented. The main functionality of the tool and usage scenarios are described using a real-world example. A brief introduction to the underlying implemented methods and algorithms is provided.

引用

页数：9

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