An Application of Fuzzy Clustering on Prevalence of Youth Tobacco Survey

Abstract

The foremost avoidable cause of disease and death is tobacco consume in almost every country and nearly all tobacco consume begins during youth and young adulthood. The use of tobacco products has increased in years and nearly half of tobacco consumers use more than two tobacco products. The paper is about the application of fuzzy clustering on the data of young people's attitude toward tobacco products. Fuzzy clustering was used to cluster people into a number of groups based on their use, tendency and intention. In our experiments, we used Fuzzy C-Means algorithms and it was calculated by using R Studio's packages. In our analysis, we have considered 7 questions from National Youth Tobacco Survey 2013 Questionnaire. Questions are about use of different tobacco products and thoughts about tobacco. We examined 267 subjects who were randomly selected. As a result of our analysis we came to the conclusion that most young people are not interested in smoking any kind of tobacco products. Most of them have not tried any kind of tobacco but some of them have tendency to smoke in years.