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...

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Detalles Bibliográficos
Autores principales: Li, Li, Song, Qifa, Yang, Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Original Research
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

Internet

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

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