Blar i NOFIMA vitenarkiv på forfatter "Castura, John C."
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Evaluation of complementary numerical and visual approaches for investigating pairwise comparisons after principal component analysis
Castura, John C.; Varela, Paula; Næs, Tormod (Peer reviewed; Journal article, 2023)We propose and evaluate numerical and visual methods for investigating paired comparisons after principal component analysis (PCA). PCA results can be visualized to facilitate an understanding of the relationships between ... -
Why use component-based methods in sensory science?
Næs, Tormod; Varela, Paula; Castura, John C.; Bro, Rasmus; Tomic, Oliver (Peer reviewed; Journal article, 2023)This paper discusses the advantages of using so-called component-based methods in sensory science. For instance, principal component analysis (PCA) and partial least squares (PLS) regression are used widely in the field; ...