Abstract: The study of anthropometric characteristics of different communities plays an important role in design, ergonomics and architecture. As the change of life style, nutrition and ethnic composition of different communities leads to obesity epidemic etc. The authors performed two experiments. In the first experiment, the authors tried to classify three communities of Assam, India based on anthropometric characteristics using R Programming. The authors mined out the statistically significant anthropometric characteristics among the Chutia, Mising and Deori communities of Assam. In the second experiment, the authors performed the Cochran Mantel Haenszel test to find out the association between the communities and BMI based nutritional status stratified by the age of the people studied.

Sadiq Hussain, Dali Dutta, Runjun Patir, Prof. Sarthak Sengupta, Prof. Jiten Hazarika and Prof. G.C. Hazarika, “Classifying three Communities of Assam Based on Anthropometric Characteristics using R Programming” International Journal of Advanced Computer Science and Applications(IJACSA), 6(10), 2015. http://dx.doi.org/10.14569/IJACSA.2015.061009

@article{Hussain2015,
title = {Classifying three Communities of Assam Based on Anthropometric Characteristics using R Programming},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.061009},
url = {http://dx.doi.org/10.14569/IJACSA.2015.061009},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {10},
author = {Sadiq Hussain and Dali Dutta and Runjun Patir and Prof. Sarthak Sengupta and Prof. Jiten Hazarika and Prof. G.C. Hazarika}
}