Cluster analysis for identifying obesity subgroups in health and nutritional status survey data

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Cluster analysis for identifying obesity subgroups in health and nutritional status survey data

This study presents the discovery of meaningful patterns (groups) from the obese samples of health and nutritional survey data by applying various clustering techniques. Due to the mixed nature of the data (qualitative and quantitative variables) in the data set, the best-suited clustering technique...

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Bibliographic Details
Main Authors:	Khalil, Usman, Ahmed Malik, Owais, Teck, Daphne Ching Lai, Ong, Sok King
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2021
Online Access:	http://journalarticle.ukm.my/17963/ http://journalarticle.ukm.my/17963/1/11.pdf

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