Using fuzzy c-means algorithm to cluster human development index

Abstract

Human Development Index (HDI) plays an important role in the development of a modern economy, in line with proper human development will enable the production factors to be maximized. The Human Development Index (HDI) which consists of three components, consists of life expectancy, the level of education measured by a combination of the adult literacy rate and the average length of schooling and an adequate standard of living is measured by the adjusted per-capita expenditure. Long story short, this paper will examine HDI in Aceh Province, Indonesia and create clusters using fuzzy C means Manhattan distance. The results obtained are this method can form 4 clusters with an accuracy of 82.75%.