| 改进的k-means聚类算法在供电企业CRM中的应用 |
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| 引用本文： | 孟建良,尚海昆,边玲.改进的k-means聚类算法在供电企业CRM中的应用[J].微计算机信息,2010(3). |
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| 作者姓名： | 孟建良 尚海昆 边玲 |
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| 作者单位： | 华北电力大学计算机科学与技术学院计算机系; |
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| 摘 要： | 针对k-means算法存在的不足,提出了一种改进算法。针对目前供电企业CRM系统的特点提出了用聚类分析方法进行客户群细分模型设计,通过实验验证了本文提出的k-means改进算法的高效性。实验结果证明聚类分析算法在CRM中实施类分析方法的客户群细分过程模型是行之有效的。
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| 关 键 词： | 聚类 簇 加权 供电企业 客户关系管理 |
Application in CRM of Power Supply Enterprise based on the improved K-means Cluster Algorithm |
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| MENG Jian-liang SHANG Hai-kun BIAN Ling.Application in CRM of Power Supply Enterprise based on the improved K-means Cluster Algorithm[J].Control & Automation,2010(3). |
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| Authors: | MENG Jian-liang SHANG Hai-kun BIAN Ling |
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| Affiliation: | MENG Jian-liang SHANG Hai-kun BIAN Ling(Dept of Computer,Computer Science , Technology College,North China Electric Power University,Hebei Baoding 071003,China) |
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| Abstract: | The article proposes an improved method to overcome shortcomings of the traditional k-means algorithm. This method explores the unique features of the CRM system in power supply enterprise and applies clustering analysis techniques for customer classification. The result shows that the improved k-means method is efficient and provides empirical evidence that proves the effectiveness of clustering analysis techniques for customer classification in the CRM system. |
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| Keywords: | clustering cluster weighting power supply enterprise customer relationship management |
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