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Based on the traditional spatial data analysis, a novel mode of spatial data mining and visualization is proposed which integrates the self-organizing map for the actual problem. Simulations for IRIS data show that this method (computational and visual) can collaboratively discover complex patterns in large spatial datasets, in an effective and efficient way.
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