High performance dimension reduction and visualization for large high-dimensional data analysis

CCGrid 2010 - 10th IEEE/ACM International Conference on Cluster, Cloud, and Grid Computing

Volumn , Issue , 2010, Pages 331-340

  Choi, Jong Youl ^a,b   Bae, Seung Hee ^a,b   Qiu, Xiaohong ^a   Fox, Geoffrey ^a,b  

^a INDIANA UNIVERSITY   (United States)

^b INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY VECTORS; COMPLICATED FUNCTIONS; DATA SET SIZE; DATA SETS; DIMENSION REDUCTION; GENERATIVE TOPOGRAPHIC MAPPING; HIGH DIMENSIONAL SPACES; HIGH DIMENSIONS; LARGE HIGH-DIMENSIONAL DATA; MULTI-DIMENSIONAL SCALING; PARALLEL PERFORMANCE; PERFORMANCE DIMENSIONS; STRONG CORRELATION;

CLUSTER COMPUTING; DATA MINING; DATA VISUALIZATION; GRID COMPUTING; PARALLEL ALGORITHMS; VISUALIZATION;

DATA REDUCTION;

EID: 77954933460     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCGRID.2010.104     Document Type: Conference Paper

References (22)

1. G. Fox, S. Bae, J. Ekanayake, X. Qiu, and H. Yuan, "Parallel data mining from multicore to cloudy grids, " in Proceedings of HPC 2008 High Performance Computing and Grids workshop, Cetraro, Italy, July 2008.
2. C. Bishop, M. Svensén, and C.Williams, "GTM: A principled alternative to the self-organizing map, " Advances in neural information processing systems, pp. 354-360, 1997.
3. -, "GTM: The generative topographic mapping, " Neural computation, vol. 10, no. 1, pp. 215-234, 1998.
4. T. Kohonen, "The self-organizing map, " Neurocomputing, vol. 21, no. 1-3, pp. 1-6, 1998.
5. J. B. Kruskal and M. Wish, Multidimensional Scaling. Beverly Hills, CA, U.S.A.: Sage Publications Inc., 1978.
6. I. Borg and P. J. Groenen, Modern Multidimensional Scaling: Theory and Applications. New York, NY, U.S.A.: Springer, 2005.
7. J. B. Kruskal, "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis, " Psychometrika, vol. 29, no. 1, pp. 1-27, 1964.
8. Y. Takane, F. W. Young, and J. de Leeuw, "Nonmetric individual differences multidimensional scaling: an alternating least squares method with optimal scaling features, " Psychometrika, vol. 42, no. 1, pp. 7-67, 1977.
9. J. de Leeuw, "Applications of convex analysis to multidimensional scaling, " Recent Developments in Statistics, pp. 133-145, 1977.
10. -, "Convergence of the majorization method for multidimensional scaling, " Journal of Classification, vol. 5, no. 2, pp. 163-180, 1988.
11. A. Dempster, N. Laird, and D. Rubin, "Maximum likelihood from incomplete data via the em algorithm, " Journal of the Royal Statistical Society. Series B, pp. 1-38, 1977.
12. E. H. Moore, "On the reciprocal of the general algebraic matrix, " Bulletin of American Mathematical Society, vol. 26, pp. 394-395, 1920.
13. R. Penrose, "A generalized inverse for matrices, " Proceedings of the Cambridge Philosophical Society, vol. 51, pp. 406-413, 1955.
14. H. Hotelling, "Relations between two sets of variates, " Biometrika, vol. 28, no. 3, pp. 321-377, 1936.
15. D. Hardoon, S. Szedmak, and J. Shawe-Taylor, "Canonical correlation analysis: an overview with application to learning methods, " Neural Computation, vol. 16, no. 12, pp. 2639-2664, 2004.
16. H. Glahn, "Canonical correlation and its relationship to discriminant analysis and multiple regression, " Journal of the Atmospheric Sciences, vol. 25, no. 1, pp. 23-31, 1968.
17. O. Friman, J. Cedefamn, P. Lundberg, M. Borga, and H. Knutsson, "Detection of neural activity in functional MRI using canonical correlation analysis, " Magnetic Resonance in Medicine, vol. 45, no. 2, pp. 323-330, 2001.
18. N. Campbell and W. Atchley, "The geometry of canonical variate analysis, " Systematic Zoology, pp. 268-280, 1981.
19. B. Thompson, Canonical correlation analysis uses and interpretation. Sage, 1984.
20. X. Qiu, G. C. Fox, H. Yuan, S.-H. Bae, G. Chrysanthakopoulos, and H. F. Nielsen, "Data mining on multicore clusters, " in Proceedings of 7th International Conference on Grid and Cooperative Computing GCC2008. Shenzhen, China: IEEE Computer Society, Oct. 2008, pp. 41-49.
21. S.-H. Bae, "Parallel multidimensional scaling performance on multicore systems, " in Proceedings of the Advances in High-Performance EScience Middleware and Applications workshop (AHEMA) of Fourth IEEE International Conference on eScience. Indianapolis, Indiana: IEEE Computer Society, Dec. 2008, pp. 695-702.
22. J. Sammon, "A nonlinear mapping for data structure analysis, " IEEE Transactions on computers, vol. 18, no. 5, pp. 401-409, 1969.