Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders

Abstract

© 2019, Springer Nature Switzerland AG. This paper is focused on a new approach based on fuzzy clustering system for diagnosing headache disorders. The proposed fuzzy clustering system is based on two steps Gustafson-Kessel clustering system. Experimental data set consist of the frequency of the computer use and habits while using the computer and assessment of the adverse health effects due to computer use. The attribute selection for major features is done based on the experimental data set. The proposed fuzzy clustering system is tested on data set collected from patients in Clinical Centre of Vojvodina, in Novi Sad, Serbia.