The Application of Clustering on Principal Components for Nutritional Epidemiology: A Workflow to Derive Dietary Patterns
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DOI: 10.3390/nu15010195
Abstract: 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… read more here.
Keywords: principal components; dietary data; components nutritional; clustering principal ... See more keywords