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The Undulating Grey Model (UGM) can be used to predict internet traffic, and it performs better than other Grey Models upon multi-scale traffics. However, UGM employs frequency spectrum of the traffic and needs to select the most significant frequencies as the parameters, which is hard to be decided manually. In this paper, we introduce clustering methods to find the significant frequencies. We find...
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