Nonlinear classification of commercial Mexican tequilas

Discriminant partial least squares (PLS‐DA)—a de facto standard classification method—was found to behave poorly when 3 classes of tequilas were modeled to study a collection of 170 commercial Mexican spirits measured by UV‐Vis spectroscopy. This result was compared with other linear and nonlinear s...

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Veröffentlicht in:	Journal of chemometrics 2017-12, Vol.31 (12), p.n/a
Hauptverfasser:	Andrade, Jose Manuel, Ballabio, Davide, Gómez‐Carracedo, Maria Paz, Pérez‐Caballero, Guadalupe
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Classification counter‐propagation artificial neural networks Discriminant analysis Genetic algorithms kernel partial least squares Neural networks PLS‐DA Spectroscopy Spectrum analysis Spirits supervised classification support vectors machines tequila
Online-Zugang:	Volltext
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