Data and Code: Traditional and Non-Traditional Clustering Techniques for Identifying Chrononutrition Patterns

Anonymized data (n=459) and reproducible R scripts for the paper 'Traditional and Non-Traditional Clustering Techniques for Identifying Chrononutrition Patterns'. This repository implements 4 clustering methods (K-means, Hierarchical Ward, Gaussian Mixture Models, and Spectral Clustering) applied to meal timing data from Mexican university students. The analysis identifies chrononutrition patterns based on breakfast, lunch, and dinner timing.