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International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)

Xie Yi
Xie Yi
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ASME Press
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Customer demand clustering is a key technology to modern company; however, the traditional clustering methods have many disadvantages on accuracy and efficiency. In order to cope with this problem, the self-organizing maps (SOM) were employed to cluster the customer demand. The SOM Toolbox in Matlab was used to realize the demand data clustering for transportation equipment. Experimental results show that the proposed technique may improve the clustering accuracy, and provide a visual clustering result.

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