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

被引：44
|
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.
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收藏
页数：9
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