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Communications in Mathematical Biology and Neuroscience ISSN 2052-2541

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Commun. Math. Biol. Neurosci. 2021 (2021), Article ID 5

Using fuzzy c-means algorithm to cluster human development index

Vilzati Juned, Yusra -

PDF (499.9 KB) https://doi.org/10.28919/cmbn/5225

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%.

Published
12 January 2021
Volume
2021 (2021)
License
CC BY 3.0

Copyright © 2021 Vilzati Juned, Yusra -. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article

V. Juned, Y. -, Using fuzzy c-means algorithm to cluster human development index, Commun. Math. Biol. Neurosci. 2021 (2021), 5. https://doi.org/10.28919/cmbn/5225

BibTeX
@article{Juned2021,
  author  = {Juned, Vilzati and -, Yusra},
  title   = {Using fuzzy c-means algorithm to cluster human development index},
  journal = {Commun. Math. Biol. Neurosci.},
  volume  = {2021},
  year    = {2021},
  pages   = {5},
  doi     = {10.28919/cmbn/5225}
}