Visualization of randomly ordered numeric data sets using spherical self-organizing feature maps

Computers and Graphics (Pergamon)

Volumn 27, Issue 6, 2003, Pages 963-976

  Sangole, Archana ^a   Knopf, George K ^a  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

Data mining; Feature clustering; Interactive data analysis; Pattern recognition; Scientific data visualization; Spherical self organizing feature map

Indexed keywords

ALGORITHMS; DATA MINING; MAPS; PATTERN RECOGNITION; VIRTUAL REALITY;

DATA SETS;

DATA REDUCTION;

EID: 0242574390     PISSN: 00978493     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cag.2003.08.012     Document Type: Article

References (27)

1. Gross M. Visual computing. the integration of computer graphics, visual perception and imaging:1994;Springer, Berlin.
2. Van Dam A., Forsberg A.S., Laidlaw D.H., La Viola J.J. Jr., Simpson R.M. Immersive VR for scientific visualization. a progress report IEEE Computer Graphics and Applications. 20(6):2000;26-52.
3. Wise JA. Change as a concept in information systems theory. Ph.D. dissertation, Department of Information Science, University of Pittsburgh, 1977.
4. Cleveland W.S., McGill R. Theory, experimentation and applications to the development of graphical methods. Journal of the American Statistical Association. 79(387):1984;531-554.
5. Cleveland W.S., McGill R. The visual decoding of quantitative information on graphical displays of data. Journal of the Royal Statistical Society (Series A). 150(3):1987;192-229.
6. Kohonen T. Self-organizing maps. 1997;Springer, New York.
7. Ebert D.S., Rohrer R.M., Shaw C.D., Panda P., Kukla J.M., Roberts D.A. Procedural shape generation for multi-dimensional data visualization. Computers and Graphics. 24:2000;375-384.
8. Chernoff H. The use of faces to represent points in k-dimensional space graphically. Journal of the American Statistical Association. 68(342):1973;361-368.
9. Chambers J.M., Cleveland W.S., Kleiner B., Tukey P.A. Graphical methods for data analysis. 1983;Wadsworth, Belmont, CA.
10. Rohrer R.M., Sibert J.L., Ebert D.S. A shape-based visual interface for text retrieval. IEEE Computer Graphics and Applications. 19(5):1999;40-46.
11. Kaski S. Data exploration using self-organizing maps. Ph.D. thesis submitted to the Neural Network Research Centre, Helsinki University of Technology, 1997.
12. Vesanto J. SOM-based data visualization methods. Journal of Intelligent Data Analysis. 3(2):1999;111-126.
13. Ultsch A, Siemon HP. Kohonen's self-organizing feature maps for exploratory data analysis. Proceedings of the International Neural Network Conference, Dordrecht, The Netherlands, 1990. p. 305-8.
14. DesJardins M, Rheingans P. Visualization of high-dimensional model characteristics. Workshop on New Paradigms in Information Visualization and Manipulation (NPIVM'99). New York: ACM Press, 1999. p. 6-8.
15. Busch C, Gross M. Interactive neural network texture analysis and visualization for surface reconstruction in medical mapping. In: Proceedings of Eurographics'93, 1993. p. C49-60.
16. Gross M., Seibert F. Visualization of multi-dimensional image data sets using a neural network. The Visual Computer, International Journal of Computer Graphics. 10(1):1993;145-159.
17. Ritter H. Self-organizing maps on non-Euclidean spaces. Oja E., Kaski S. Kohonen maps. 1999;97-109 Elsevier Science BV, Amsterdam, The Netherlands.
18. Krishnamurthy A.K., Ahalt S.C., Melton D.E., Chen P. Neural networks for vector quantization of speech and images. IEEE Journal on Selected Areas in Communication. 8(8):1990;1449-1457.
19. Ankerst M., Berchtold S., Keim D.A. Similarity clustering of dimensions for an enhanced visualization of multidimensional data. IEEE Symposium on Information Visualization. 153:1998;52-60.
20. Peitgen H.O., Jürgens H., Saupe D. Chaos and fractals. new frontiers of science:1992;Springer-Verlag, New York.
21. Blake CL, Merz CJ. Repository of machine learning databases. University of California, Irvine: Department of Information and Computer Science; 1998. Accessed May 24, 2003. http://www.ics.uci.edu/̃mlearn/MLRepository.html .
22. Wolberg W.H., Mangasarian O.L. Multisurface method of pattern separation for medical diagnosis applied to breast cytology. Proceedings of the National Academy of Sciences, USA. 87:1990;9193-9196.
23. Pathfinder AVHRR Land Data. http://daac.gsfc.nasa.gov/CAMPAIGN_DOCS/FTP_SITE/readmes/pal.html.
24. Knopf GK, Sangole A. Visualizing data association using self-organizing feature maps. In: Dagli CH, Buczak AL, Ghosh J, Embruhts M, Ersoy O, Kercel S, editors. Intelligent engineering systems through artificial neural networks, vol. 10. New York: ASME Press; 2000. p. 471-6.
25. Fayyad U., Grinstein G.G., Wierse A. Information visualization in data mining and knowledge discovery. 2002;Morgan Kaufmann Publishers, Los Altos, CA.
26. Nielson G.M., Hagen H., Müller H. Scientific visualization. overviews, methodologies, techniques:1997;IEEE Computer Society Press, New Jersey.
27. Ware C. Information visualization: perception for design. San Francisco, CA: Morgan Kaufmann; 1999. p. 1-33.