Customer Segmentation for Power Enterprise Based on Enhanced-FCM Algorithm
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 seg...
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Published in | Advanced Data Mining and Applications pp. 127 - 137 |
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Main Authors | , , , |
Format | Book Chapter |
Language | English |
Published |
Berlin, Heidelberg
Springer Berlin Heidelberg
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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Summary: | 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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ISBN: | 9783642355264 3642355269 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-642-35527-1_11 |