Clustering Analysis of Geographical Area Entities Considering Distance and Shape Similarity

Geographical area entities are different from geographical point entities,because they have both position feature and shape feature.It is not enough for geographical area entities to be clustered if the clustering criterion just considers distance factor.The clustering criterion designed by us includes distance factor and geometry shape similarity factor.On the basis of this,the corresponding clustering algorithm was implemented.The experimental results show that the algorithm fits to clustering analysis of geographical area entities.