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Proceedings Paper

Spatial data clustering using an improved evolutionary algorithm
Author(s): Yiping Tang; Wenxing Long; Chuan Hu
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Paper Abstract

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.

Paper Details

Date Published: 26 February 2010
PDF: 6 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75463P (26 February 2010); doi: 10.1117/12.855584
Show Author Affiliations
Yiping Tang, Southwest Univ. of Science and Technology (China)
Wenxing Long, Sichuan College of Architectural Technology (China)
Chuan Hu, Sichuan College of Architectural Technology (China)

Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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