Customer Segmentation Algorithm of Wireless Content Service Based on Ant K-Means

China wireless content service is at the beginning years of establishment, and will keep growing at top speed in the future. Pheromone of wireless content services can scatter by wireless uses, and gets effect of ant colony clustering. Basically, the process of customer segmentation is the process of ant looking for food. This paper presents ACO market segmenting algorithm of wireless content services based on customer consumption characteristics. This algorithm uses demographic, geographic, attitudinal and behavioral data available from across the enterprise to develop highly accurate segments. The algorithm has been implemented and tested on several real datasets and preliminary computational experience is very encouraging. In other word it has been proved that this algorithm will definitely converge to optimal solution in almost runs.