2023
DOI: 10.1016/j.foodchem.2023.136817
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Application of segmented analysis via multivariate curve resolution with alternating least squares to 1H-nuclear magnetic resonance spectroscopy to identify different sugar sources

Cristian A. Fuentes,
Mecit Halil Öztop,
Macarena Rojas-Rioseco
et al.
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“…Among them, PCA is a commonly used unsupervised classification and statistical method, which can reduce dimensionality and extract features from high-dimensional data ( Fuentes et al, 2023 ). DFA is a supervised classification method, which is mainly used to find the linear combination that can classify the observed objects most effectively ( Zhang et al, 2023 , Zhang et al, 2023 ).…”
Section: Methodsmentioning
confidence: 99%
“…Among them, PCA is a commonly used unsupervised classification and statistical method, which can reduce dimensionality and extract features from high-dimensional data ( Fuentes et al, 2023 ). DFA is a supervised classification method, which is mainly used to find the linear combination that can classify the observed objects most effectively ( Zhang et al, 2023 , Zhang et al, 2023 ).…”
Section: Methodsmentioning
confidence: 99%