DCLASSIFICATION AND VISUALIZATION OF CUSTOMER CHARACTERISTIC INFORMATION BY SELF ORGANIZING MAPS

Abstract

Customer each has buying pattern. In this study, We aimed to classification of customer buying pattern. If it is possible to classify customers by any criteria, we can suggest a different recommendation for each of the clusters. We used Self Organizing Maps (SOM) in order to classify of the customers. Classification by using SOM, there is no need to determine in advance the number of clusters. Also, it is applicable to big data, such as the POS data. In addition, we analyze about charactaristics of customer and group store and visualize the result of classification in the map.