Customer segmentation analysis based on SOM clustering

From the angle of customer value and customer behavior, this paper utilizes data mining methods to segment the clients in security industry. Clustering algorithm is a kind of customer segmentation methods commonly used in data mining. In this article, a two-stage integration of K-means clustering algorithm and SOM network is applied to segment customers and finally forms groups of clients with different features. Through analyzing different groups of customers, we try to position the target clients of the company properly.