KEYWORDS: Clouds, 3D modeling, Data modeling, Data mining, Knowledge discovery, Lithium, Roads, Applied research, Analytical research, Geographic information systems
Spatial clustering is one of those major methods applying to spatial data mining and knowledge discovery. The purpose
of this paper is to set forth Spatial Clustering Method Based on Multidimensional Cloud Model, which can be widely
applied to the research on classification and hierarchy in realm of spatial data mining and knowledge discovery. This
paper summarizes all kinds of cloud model and analyzes the optimalizing form of spatial data−three-dimensional
cloud model. The limitation which sets the weighing value subjectively in traditional way and propagation of error can
be avoided. The implementation procedure of this method is advanced, and the feasibility of this method is proven
through experiments effectively.
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