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K-means clustering of overweight and obese population using quantile-transformed metabolic data
OBJECTIVE: Use of K-means clustering for big data technology to cluster an overweight and obese population metabolically. METHODS: K-means clustering with the help of quantile transformation of attribute values was applied to overcome the impact of the considerable variation in the values of obesity...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Dove
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6711566/ https://www.ncbi.nlm.nih.gov/pubmed/31692562 http://dx.doi.org/10.2147/DMSO.S206640 |