Transportation Management College, Dalian Maritime University, Dalian 116026, P.R. China

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Abstract—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.

Index Terms—Clustering algorithm; fuzzy k-means clustering; logistics service provider segmentation.

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Cite: Taoying Li, Yan Chen, Jinsong Zhang, "Logistics Service Provider Segmentation Based on Improved FCM Clustering for Mixed Data," Journal of Computers vol. 7, no. 11, pp. 2629-2633, 2012.