...簇的数目;大部分基于网格的聚类算法都使用了两 个关键参数:网格粒度(grid granularity)参数6和密度阈值(density threshold)参数 MinPts。一般的聚类算法对输入参数通常十分敏感,而且参数通常很难确定。
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Using an optimum density threshold and corresponding grid granularity can be ascertained with a set of given density thresholds.
在给定一组密度阈值的条件下,利用该方法可以确定一个最佳的密度阈值及相应的网格粒度。
参考来源 - 空间数据聚类中的网格粒度求解方法·2,447,543篇论文数据,部分数据来源于NoteExpress
然后将“贡献度”作为网格单元密度,使用密度阈值函数来定义网格的密度阈值进行聚类。
Then the Contribution is the grid density and dispose of density threshold of grid by the method of density threshold.
在网格动态划分过程中,根据密网格和稀疏网格的产生情况,确定最佳网格粒度与密度阈值。
It ascertains the optimum grid granularity and density threshold on the basis of the situation in which dense and sparse grid is generated during the procedure of grid dynamical partitioning.
分析了该打标过程的作用机理,通过实验得出了对几种不同的卷烟用纸打标的能量密度阈值条件及优化条件。
The marking mechanism is studied, the fluence threshold of marking is acquired in experiment, the conditions of marking is optimized.
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