中国邮电高校学报(英文) ›› 2009, Vol. 16 ›› Issue (2): 114-116.doi: 10.1016/S1005-8885(08)60214-9
• Artificial Intelligence • 上一篇 下一篇
任鸿,郑岩,吴烨蓉
REN Hong, ZHENG Yan, WU Ye-rong
摘要：
In this article, a clustering method based on genetic algorithm (GA) for telecommunication customer subdivision is presented. First, the features of telecommunication customers (such as the calling behavior and consuming behavior) are extracted. Second, the similarities between the multidimensional feature vectors of telecommunication customers are computed and mapped as the distance between samples on a two-dimensional plane. Finally, the distances are adjusted to approximate the similarities gradually by GA. One advantage of this method is the independent distribution of the sample space. The experiments demonstrate the feasibility of the proposed method.
