Hierarchical cluster analysis as an approach for systematic grouping of diet constituents on basis of fatty acid, energy and cholesterol content: application on consumable lamb products

Prevalence, agreement and classification of various metabolic syndrome criteria among ethnic Chinese: A report on the hospital-based health diagnosis of the adult population

“…The squared Euclidean distance using standardized data was chosen as the measure of similarity, and the squared Euclidean distance is the sum of the squared differences over all the variables. Cluster analysis was capable of classifying complex components such as dietary constitutes [25], microarray genomic profile data [26] and exploratory factors for metabolic syndrome [17]. It was capable of defining similarity and dissimilarity in various constitutes, and this non-parametric classification technique provided a robust method of grouping and testing for the degree of similarity among studied variables.…”

Classification of fruits and vegetables

“…Such classifications could help researchers develop the fruit and vegetable sections of their food frequency questionnaires, teach students about food composition, and assist dietitians in providing dietary guidance to patients and clients. Previous studies suggest that mathematical clustering algorithm methods can be used to overcome the challenge of dealing with multiple food components simultaneously to objectively classify foods (Akbay et al, 2000;Windham et al, 1985).…”

Identification of food groups for use in a self-administered, computer-assisted diet history interview for use in Australia

“…Cluster analysis is a widely used statistical technique that has been used for defining both food exposure patterns (Wirfalt et al, 2000) and for combining foods into groups (Akbay et al, 2000, Windham et al, 1985. In this study, hierarchical cluster analysis was used as a tool to help inform decision-makers of the compositional similarity between foods, so that foods which were compositionally most similar were grouped together.…”