| 改进的聚类分析算法在客户群分中的应用研究 |
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| 引用本文： | 吴淑梅. 改进的聚类分析算法在客户群分中的应用研究[J]. 中原工学院学报, 2012, 23(4): 62-65 |
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| 作者姓名： | 吴淑梅 |
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| 作者单位： | 泉州师范学院,福建泉州,362000 |
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| 摘 要： | 针对传统的K-Means聚类算法对初始聚类中心依赖性较高,从而影响分类结果的问题,提出了一种改进算法,并将其应用于一家电器商场的客户群分中,为商场的营销活动提供了有价值的决策依据.
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| 关 键 词： | 数据挖掘 聚类分析 K-Means 客户群分 |
Application Research of Improved Clustering Algorithm in Customer Segmentation |
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| WU Shu-mei. Application Research of Improved Clustering Algorithm in Customer Segmentation[J]. Journal of Zhongyuan Institute of Technology, 2012, 23(4): 62-65 |
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| Authors: | WU Shu-mei |
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| Affiliation: | WU Shu-mei(Quanzhou Normal University,Quanzhou 362000,China) |
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| Abstract: | To the problem of high dependence of the traditional K-Means clustering algorithm on the initial cluster centers,thus affecting the classification results,the paper proposes an improved algorithm for it,and applies it to the customer segmentation of an electronics mall,all of which will give support to the marketing activities. |
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| Keywords: | data mining cluster analysis K-Means customer segmentation |
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