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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Detalles Bibliográficos
Autores principales: Feher, Ioana, Magdas, Dana Alina, Voica, Cezara, Cristea, Gabriela, Sârbu, Costel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662284/
https://www.ncbi.nlm.nih.gov/pubmed/33114682
http://dx.doi.org/10.3390/molecules25214955

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662284/
https://www.ncbi.nlm.nih.gov/pubmed/33114682
http://dx.doi.org/10.3390/molecules25214955

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