A dynamic clustering algorithm was proposed based on consistent matrix of dependentfunction for time series multi-dimensional data.
根据时序立体数据的特点,提出了基于关联函数一致性矩阵的动态聚类算法。
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The history data are adopted to set up the classical and extensional matter elements. The dependentfunction is used to establish the prediction model .