Research on Spatial Clustering Acetabuliform Model and Algorithm Based on Mathematical Morphology

Authors:
Lichao Chen;Lihu Pan;Yingjun Zhang
Affiliations:
Institute of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China 030024;Institute of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China 030024;Institute of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China 030024
Venue:
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Year:
2008

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Abstract

In this paper, a new spatial data analysis model is brought forward for the aid of analyzing to spatial terrain, which uses mathematical morphology method to carry through the research of 3-D spatial clustering analysis. The model algorithm is designed and implemented in this paper. Simulation results show that the model really solves the 3-D spatial clustering problems with high efficiency and practical features.