Multivariate time series clustering analysis of the Global Dietary Database to uncover patterns in dietary trends (1990–2018)
Abstract Objective: Understanding country-level nutrition intake is crucial to global nutritional policies that aim to reduce disparities and relevant disease burdens. Still, there are limited numbers of studies using clustering techniques to analyse the recent Global Dietary Database (GDD). This...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2025-01-01
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| Series: | Public Health Nutrition |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S136898002500059X/type/journal_article |
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