基于聚类的客户细分方法研究 |
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作者单位: | 常州工学院计算机信息工程学院 |
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摘 要: | 本文首先对聚类算法进行了分析,然后以中小型商业批发企业为例,设计了一种反映客户价值与客户关系质量的客户细分模型,应用K-Means聚类方法进行了实际的挖掘。探讨在中小型企业不能提供完备数据的情况下,只要设计出合理的细分模型并选择合适的算法仍然可以实现有效的客户细分。
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关 键 词: | 客户关系管理 聚类算法 客户细分 |
Research of Solutions for the Customer Segmentation Based on the Clustering Algorithm |
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Authors: | Wang Xing Zheng Cheng-zeng |
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Abstract: | First this paper gives a brief introduction of clustering algorithm,then aims at the case of medium or small commercial wholesale enterprise,this paper has designed a customer segmentation model which can reflect the value and quality of customer relations,and it has conducted practical data mining based on K-Means of clustering algorithm.This paper discusses that customer segmentation can be realized as long as a proper segmentation model is designed and a proper algorithm is,provided that the enterprise can-'t offer complete data. |
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Keywords: | Customer Relationship Management(CRM) clustering algorithm customer segmentation |
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