Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
726311 | The Journal of China Universities of Posts and Telecommunications | 2009 | 4 Pages |
Abstract
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.
Keywords
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Physical Sciences and Engineering
Engineering
Electrical and Electronic Engineering
Authors
REN Hong, ZHENG Yan, WU Ye-rong,