提出一种空间数据聚类中的网格粒度求解方法。
This paper proposes a solving method of grid granularity in spatial data clustering.
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；
Seven kinds of spatial data clustering approaches are studied. And the technique to solve the problem of Constraint-based Spatial Cluster Analysis is explored.
对比实验结果表明，TART2网络更适用于带状分布的空间数据聚类，具有较高的可塑性和自适应性。
The comparative experimental results show that TART2 network is suitable for clustering about the ribbon distribution of spatial data, and it has higher plasticity and adaptability.
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