Abstract
Smartphone has become the necessities of people in the world today. The worlds biggest Smartphone market is china. For Chinese mobile phone manufacturers, if they wanted to share on the global mobile phone market and gain more competitiveness, they would not only in cost and price to win,but also analyze consumer trends and consumer preferences about the smart phone configuration. China mobile is the country's biggest mobile operator and mobile phone distributor company, which has a large amount of smart phone sales data. This paper based on the smart phone sales data, proposed comprehensive clustering method and realized analysis of mobile phone configuration, including DBSCAN algorithm and K-means algorithm. Which cluster and divide the smart phone configuration into the different groups objectively and scientifically. Finally, the simulation analysis of smart phone sales data from china mobile, it is concluded that the accurate clustering results would help enterprises to make better decisions and predictions. Keywords: Smart phone configuration, Comprehensive clustering, DBSCAN algorithm, K-means algorithm
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