Logistics Service Provider Segmentation Based on Improved FCM Clustering for Mixed Data

被引：4

作者：

Li, Taoying ^{[1
]}

Chen, Yan ^{[1
]}

Zhang, Jinsong ^{[1
]}

机构：

[1] Dalian Maritime Univ, Transportat Management Coll, Dalian 116026, Peoples R China

来源：

JOURNAL OF COMPUTERS | 2012年 / 7卷 / 11期

关键词：

clustering algorithm; fuzzy k-means clustering; logistics service provider segmentation;

D O I：

10.4304/jcp.7.11.2629-2633

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

More and more logistics service providers turn up and make it is difficult to choose correct, economy and efficient ones for us. In order to achieve customer segmentation properly, we proposed an improved FCM algorithm by modifying distance function of categorical data and that of mixed data in this paper, and proved its theoretical correctness. We use clustering to reduce the range of logistics service providers and simplify the complexity of practice. Finally, we apply the proposed algorithm into logistics service provider segmentation, and its results show that the improved FCM algorithm is efficient and correct.

引用

页码：2629 / 2633

页数：5

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