This paper proposes a solving method of grid granularity in spatial data clustering.
提出一种空间数据聚类中的网格粒度求解方法。
Seven kinds of spatial data clustering approaches are studied. And the technique to solve the problem of Constraint-based Spatial Cluster Analysis is explored.
系统研究了七种典型的空间数据聚类方法，积极探索基于约束条件的空间聚类问题的解决方案；
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。
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