The effects of clustering the rows by their spatial properties rely on accessing just a subset of the data during query time.
按照空间属性聚集这些行的效果取决于在查询时对一个数据子集的访问。
The selection of starting center points of clustering has great effects on the constringency speed of this clustering algorithms and the performance of clustering.
聚类初始中心的选择对该聚类算法的收敛速度和聚类的性能都有很大的影响。
The clustering strategy can efficiently identify gene family and alternate splicing forms of expressed sequences. It can also reduce the adverse effects caused by sequence errors.
这一聚类策略能降低测序错误带来的影响，有效识别基因家族成员，并避免选择性剪接的干扰。
The experiments on the effects of LB_HUST show that, LB_HUST can be used as a compacted and symmetrical DTW lower bounding function, and has a better output in the time series clustering.
实验结果表明，LB_HUST不仅是时间序列基于DTW计算的一种紧密而对称的下界函数，而且在时间序列聚类中能够取得较好效果。
The experiments on the effects of LB_HUST show that, LB_HUST can be used as a compacted and symmetrical DTW lower bounding function, and has a better output in the time series clustering.
实验结果表明，LB_HUST不仅是时间序列基于DTW计算的一种紧密而对称的下界函数，而且在时间序列聚类中能够取得较好效果。
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