New approach clustering algorithm for customer segmentation in automobile retailer industry

Journal Title: International Research Journal of Applied and Basic Sciences - Year 2012, Vol 3, Issue 7

Abstract

This research presents a new method for automatic customer segmentation based on usage behavior, without using a human specialist. In addition, the research focuses on profiling customers and finding a relation between the profile and the segments. The customer segments were constructed by applying modified Gustafson-Kessel clustering algorithm. The customer’s profile was based on personal information of the customers. A novel Support Vector Machines was used to estimate the segment of a customer based on his profile.To demonstrate the efficiency of the proposed method, this work performs an empirical study of a Nissan automobile retailer to segment over 5000 customers. This led to solutions for the customer segmentation with six segments.

Authors and Affiliations

Seyed Reza Bahari Saravi| M.S. Student of Industrial engineering, Amirkabir University of Technology, Tehran, Iran,arezohamzei@yahoo.com

Keywords

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  • EP ID EP5064
  • DOI -
  • Views 431
  • Downloads 20

How To Cite

Seyed Reza Bahari Saravi (2012). New approach clustering algorithm for customer segmentation in automobile retailer industry. International Research Journal of Applied and Basic Sciences, 3(7), 1437-1442. https://europub.co.uk/articles/-A-5064