Fast spherical self organizing map - Use of indexed geodesic data structure

WSOM 2005 - 5th Workshop on Self-Organizing Maps

Volumn , Issue , 2005, Pages 455-462

  Wu, Yingxin ^a   Takatsuka, Masahiro ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Data structure; Geodesic dome; Self Organizing Map; Visualization

Indexed keywords

2D DATUM; BORDER EFFECTS; CENTER POINTS; GEODESIC DOMES; POINT OF INTEREST; SEARCHING METHODS;

CONFORMAL MAPPING; DATA STRUCTURES; DOMES; FLOW VISUALIZATION; GEODESY; SELF ORGANIZING MAPS;

SPHERES;

EID: 84890257305     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. D. Alahakoon, S. K. Halgamuge, and B. Srinivasan. Dynamic self-organizaing maps with controlled growth for knowledge discovery. IEEE Transactions on Neural Networks, 11(3): 601-614, May 2000.
2. F. Canters and H. Decleir. The World In Perpective: A Directory of World Map Projections. John Wiley & Sons Ltd., England, 1989.
3. N. Daisuke and O. Matashige. Application of spherical som in clustering. In Proceedings of Workshop on Self-Organizing Maps, WSOM03, Kitakyushu, Japan, September 2003.
4. B. Farid, E. P. Biela, and P. Jack-Gérard. Self organizing spherical map architecture for 3d object modeling. In Proceedings of Workshop on Self-Organizing Maps, WSOM03, Kitakyushu, Japan, September 2003.
5. G. Hoffmann. Sphere tessellation by icosahedron subdivision. 2002.
6. M. Ito, T. Miyoshi, and H. Masuyama. The characteristics of the torus self organizing map. In Proceedings 16th Fuzzy Systerm Symposium Akita, pages 373-374. Japan Society for Fuzzy and Systems, 2000.
7. T. Kohonen. Self-Organizing Maps. Springer Series in Information Sciences. SpringerVerlag, Germany, 3rd edition, 2001.
8. A. Pugh. Polyhedra - a Visual Approach. University of California Press, Ltd, 1976.
9. H. Ritter. Non-Euclidean Self-Organizing Maps, pages 97-109. ELSEVIER, Amsterdam, 1999.
10. A. Sangole and G. K. Knopf. Visualization of randomly ordered numeric data sets using spherical self-organizing feature maps. Computers & Graphics, 27(6): 963-976, December 2003.
11. W. S. Sarle. SOM FAQ. 2002.
12. M. Wand and M. Jones. Kernel Smoothing. Chapman & Hall, London, 1995.
13. Y. Wu and M. Takatsuka. Geodesic self-organizing map. In Proceedings of Conference on Visualization and Data Analysis 2005. IS&T / SPIE, January 2005.
14. L. J. Xinzhi. Visualization of high-dimensional data with relational perspective map. Information Visualization, 3: 49-59, 2004.