Fuzzy C-Means Clustering for Customer Segmentation

  • I Made Dhanan Pradipta
  • Agus Eka Anwar Wahyudi Departement of Electrical and Computer Engineering, Post Graduate Program, Udayana University
  • Sri Aryani Departement of Electrical and Computer Engineering, Faculty of Engineering, Udayana University

Abstract

The right marketing strategy for a company can
increase revenue for the company. A product will not be bought
even known if the product sold is not clear its usefulness.
Therefore, market segmentation is used to predict market
demand based on market groupings such as Measurability
(buyer characteristics and characteristics), Accestability
(segmentation selected by company) and Substantiability (large
segment and profitable to serve).Customer segmentation is used
to determine the status of potential customers to choose the right
market strategy for the company. Clustering method used is
fuzzy c-means, this method is determined based on the existence
of each data point by the degree of membership. Segmentation
using this clustering method will generate customer labels such as
superstar, golden, typical, occasional, everyday, and dormant.

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Published
2018-07-31
How to Cite
PRADIPTA, I Made Dhanan; ANWAR WAHYUDI, Agus Eka; ARYANI, Sri. Fuzzy C-Means Clustering for Customer Segmentation. International Journal of Engineering and Emerging Technology, [S.l.], v. 3, n. 1, p. 18-22, july 2018. ISSN 2579-5988. Available at: <https://ojs.unud.ac.id/index.php/ijeet/article/view/41251>. Date accessed: 04 july 2024.