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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2021
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| Online Access: | http://journalarticle.ukm.my/17963/1/11.pdf http://journalarticle.ukm.my/17963/ https://www.ukm.my/apjitm/articles-year.php |
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