Three‐way clustering around latent variables approach with constraints on the configurations to facilitate interpretation

• Published in: Journal of chemometrics Vol. 35; no. 2
• Main Authors: Cariou, Véronique, Alexandre‐Gouabau, Marie‐Cécile, Wilderjans, Tom F.
• Format: Journal Article
• Language: English
• Published: Chichester Wiley Subscription Services, Inc 01.02.2021; Wiley
• Subjects: Animal fat; Breast milk; Case studies; Clustering; CLV3W; Configurations; Constraints; consumer segmentation; Data structures; Fatty acids; Globules; Life Sciences; Lipids; metabolomics; Methodology; Milk; nonnegativity; Oxidation; Parafac; Statistics; Variables; Weighting; CLV3W; Parafac; consumer segmentation; metabolomics; nonnegativity

The set‐up of comprehensive studies in life sciences involving a longitudinal dimension—as appears in time‐scale metabolomics—calls for the use of dimension reduction techniques for three‐way data structures (e.g., samples by variables by time points). For this purpose, a clustering around latent va...