Customer clustering is used to understand customers? preferences and behaviors by examining the differences and similarities between customers. Kohonen vector quantization (KVQ), Kohonen Self Organizing Map (SOM) and K-means are used in this research to find interesting behaviors of customers who subscribe to mobile services. Clustering is followed by inter-cluster analysis in order to identify possible business opportunities.
Citation:
Indranil Bose, Chen Xi, "Exploring Business Opportunities from Mobile Service Data of Customers Using Inter-cluster Analysis," icdmw, pp.580-584, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006