期刊名称：International Journal of Computer, Information, and Systems Science, and Engineering
印刷版ISSN：1307-2331
出版年度：2007
卷号：1
期号：3
出版社：World Academy of Science, Engineering and Technology
摘要：The goal of this paper is to segment the countries
based on the value of export from Iran during 14 years ending at
2005. To measure the dissimilarity among export baskets of different
countries, we define Dissimilarity Export Basket (DEB) function and
use this distance function in K-means algorithm. The DEB function
is defined based on the concepts of the association rules and the
value of export group-commodities. In this paper, clustering quality
function and clusters intraclass inertia are defined to, respectively,
calculate the optimum number of clusters and to compare the
functionality of DEB versus Euclidean distance. We have also study
the effects of importance weight in DEB function to improve
clustering quality. Lastly when segmentation is completed, a
designated RFM model is used to analyze the relative profitability of
each cluster.
关键词：Customers segmentation, Customer relationship
management, Clustering, Data Mining
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