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.
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Chen, L., Pan, L., Zhang, Y. (2008). Research on Spatial Clustering Acetabuliform Model and Algorithm Based on Mathematical Morphology. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87734-9_12
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DOI: https://doi.org/10.1007/978-3-540-87734-9_12
Publisher Name: Springer, Berlin, Heidelberg
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