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Support Vector Clustering for Customer Segmentation on Mobile TV Service

机译:支持向量聚类,用于移动电视服务上的客户细分

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摘要

This article presents a proposal for customer segmentation through Support Vector Clustering, a technique that has been gaining attention in the academic literature due to the good results usually obtained. An application of this method to a sample from consumers in Brazil about mobile TV service is performed; we compare this approach with the classical hierarchical methods of cluster analysis. It is concluded that this methodology is effective in reducing the heterogeneity often present in customers' data, improving the cluster segmentation analysis for managers.
机译:本文提出了一种通过支持向量聚类对客户进行细分的建议,该技术由于通常获得的良好结果而在学术文献中受到关注。将该方法应用于来自巴西消费者的有关移动电视服务的样本;我们将该方法与经典的聚类分析分层方法进行了比较。结论是,这种方法可以有效地减少客户数据中经常出现的异质性,从而改善管理者的集群细分分析。

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