The experiments show that the proposed method can work and the gray relation grade measure is better suited for the problem than the dynamic time warping measure.

 
  • 通過(guò)實(shí)驗研究,發(fā)現基于灰色關(guān)聯(lián)度的層次化聚類(lèi)方法能較好地實(shí)現交通流時(shí)間序列的進(jìn)一步有效分離。
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