Fuzzy Divisive Hierarchical Associative-Clustering Applied to Different Varieties of White Wines According to Their Multi-Elemental Profiles

Wine data are usually characterized by high variability, in terms of compounds and concentration ranges. Chemometric methods can be efficiently used to extract and exploit the meaningful information contained in such data. Therefore, the fuzzy divisive hierarchical associative-clustering (FDHAC) met...

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Udgivet i:Molecules
Main Authors: Feher, Ioana, Magdas, Dana Alina, Voica, Cezara, Cristea, Gabriela, Sârbu, Costel
Format: Artigo
Sprog:Inglês
Udgivet: MDPI 2020
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7662284/
https://ncbi.nlm.nih.gov/pubmed/33114682
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/molecules25214955
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