Abstract
Customer segmentation is an important topic of customer relationship management and FCM is a common method for customer segmentation. However, FCM is sensitive to outliers and hard to determine the number of clusters. In this paper, we define hierarchical analytical indicators for power customer segmentation, and propose a new algorithm called WKFCM_S2 by combining enhanced-FCM algorithm with the analytical hierarchy process. Experiments on a real customer data set of a power supply enterprise show that the WKFCM_S2 algorithm is more robust to noise and more suitable for applications.
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Song, L., Zhan, W., Qian, S., Yin, J. (2012). Customer Segmentation for Power Enterprise Based on Enhanced-FCM Algorithm. In: Zhou, S., Zhang, S., Karypis, G. (eds) Advanced Data Mining and Applications. ADMA 2012. Lecture Notes in Computer Science(), vol 7713. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35527-1_11
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DOI: https://doi.org/10.1007/978-3-642-35527-1_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35526-4
Online ISBN: 978-3-642-35527-1
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