The algorithm uses radians to measure the trend, takes advantage of time of the trend maintenance to weight the value of trend, and realizes quick whole sequence similarity search of number trend sequences.
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In the implementation of the Time Base calculation above, the algorithm USES a helper multiply function.
在上面Time Base计算的实现中,算法使用了一个辅助乘法函数。
The algorithm uses the hinging hyperplanes model that uses hinging hyperplanes as basis functions in expansion.
该算法使用的“链接超平面”模型,也就是以“链接超平面”作为基函数。
The algorithm USES the Expectation Maximization (EM) clustering method to identify clusters and their sequences.
该算法采用期望最大化(EM)聚类分析方法来识别分类及其顺序。
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