The Application of Clustering on Principal Components for Nutritional Epidemiology: A Workflow to Derive Dietary Patterns

In the last decades, different multivariate techniques have been applied to multidimensional dietary datasets to identify meaningful patterns reflecting the dietary habits of populations. Among them, principal component analysis (PCA) and cluster analysis represent the two most used techniques, eith...

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Detalles Bibliográficos
Autores principales: Maugeri, Andrea, Barchitta, Martina, Favara, Giuliana, La Mastra, Claudia, La Rosa, Maria Clara, Magnano San Lio, Roberta, Agodi, Antonella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824338/
https://www.ncbi.nlm.nih.gov/pubmed/36615850
http://dx.doi.org/10.3390/nu15010195

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824338/
https://www.ncbi.nlm.nih.gov/pubmed/36615850
http://dx.doi.org/10.3390/nu15010195

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