Considering the difficulties for traditional methods in clustering analysis of spatial data, in this paper, a novel spatial data
clustering method based on an improved evolutionary algorithm is proposed. It effectively solved the two main problems
puzzling many researchers, i.e., 1) difficulty in coping with the local optimum, and 2) sensibility to the center selections
of the initial clustering. Empirical evaluation of our method indicates that it has better performance, compared with the
other methods in literature.
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