Title : ( Comparison of Two Customer Segmentation Methods )
Authors: Mehdi Mohammadi , Mehdi Jabbari Nooghabi , Sanaz Nia , Rozhin Sharifi , Ameneh Mohammadi ,
Full TextAbstract
In the world of competition between companies, it is required to cluster the customers based on the behaviors and preferences and it is a critical strategic imperative in any company. In this research, the well-known methods of RFM and Clara clustering based on Manhattan and Euclidean measures are used to cluster the customers of GreenWeb company. The results show the frequency of customers in some of the clusters are slightly equal whereas the number of clustering in each three methods are not equal.
Keywords
, RFM, Clara, k-medoids, GreenWeb, Customer Segmentation
@inproceedings{paperid:1099788,
author = {مهدی محمدی and Jabbari Nooghabi, Mehdi and ساناز نیا and روژین شریفی and آمنه محمدی},
title = {Comparison of Two Customer Segmentation Methods},
booktitle = {دهمین کنفرانس بینالمللی مهندسی صنایع و سیستمها},
year = {2024},
location = {مشهد, IRAN},
keywords = {RFM; Clara; k-medoids; GreenWeb; Customer Segmentation},
}
%0 Conference Proceedings
%T Comparison of Two Customer Segmentation Methods
%A مهدی محمدی
%A Jabbari Nooghabi, Mehdi
%A ساناز نیا
%A روژین شریفی
%A آمنه محمدی
%J دهمین کنفرانس بینالمللی مهندسی صنایع و سیستمها
%D 2024
