2022
DOI: 10.1007/s11694-022-01759-7
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Non-targeting metabolite profiling and chemometric approaches for the discrimination and authentication analyses of whole-wheat flours from Tunisian durum wheat landraces (Triticum turgidum ssp. durum)

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Cited by 3 publications
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“…The adaptability of different analysis methods to different authenticity issues is related to sample analysis technology. SVM is a binary classification model that is more suitable for a moderate amount of data, as well as high dimensional and non-linear data ( Lamine et al, 2023 ). KNN is more suitable for modeling similar class groupings, such as food quality levels.…”
Section: Chemometrics Methodsmentioning
confidence: 99%
“…The adaptability of different analysis methods to different authenticity issues is related to sample analysis technology. SVM is a binary classification model that is more suitable for a moderate amount of data, as well as high dimensional and non-linear data ( Lamine et al, 2023 ). KNN is more suitable for modeling similar class groupings, such as food quality levels.…”
Section: Chemometrics Methodsmentioning
confidence: 99%