Abstract
In order to mine one typical non-sphere cluster, the linear belts in a spatial database, a mathematical morphological operator based method is proposed in this paper. The method can be divided into two basic steps: firstly, the most suitable re-segmenting scale is found by our clustering algorithm MSCMO which is based on mathematical morphological scale space; secondly, the segmented result at this scale is re-segmented to obtain the final linear belts. This method is a robust mining method to semi-linear clusters and noises, which is validated by the successful extraction of seismic belts.
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© 2005 Springer-Verlag Berlin Heidelberg
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Wang, M., Luo, J., Zhou, C. (2005). Linear Belts Mining from Spatial Database with Mathematical Morphological Operators. In: Li, X., Wang, S., Dong, Z.Y. (eds) Advanced Data Mining and Applications. ADMA 2005. Lecture Notes in Computer Science(), vol 3584. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527503_91
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DOI: https://doi.org/10.1007/11527503_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27894-8
Online ISBN: 978-3-540-31877-4
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