Unsupervised subjects classification using insulin and glucose data for insulin resistance assessment
In this paper, the ?-means clustering algorithm is employed to perform an unsupervised classification of subjects based on unidimensional observations (HOMA-IR and the Matsuda indexes separately) and multidimensional observations (insulin and glucose samples obtained from the oral glucose tolerance...
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| Formato: | article |
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2015
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| Acceso en liña: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962783931&doi=10.1109%2fSTSIVA.2015.7330444&partnerID=40&md5=99fb81f9bcf7f7759af9821e7f6faa0c http://dspace.ucuenca.edu.ec/handle/123456789/29209 |
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