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 con...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.展开更多
基金supported by the Hi-Tech Research and Development Program of China(2006AA01Z229)
文摘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.
