Large-scale data visualization with missing values

Technological and Economic Development of Economy

Volumn 12, Issue 1, 2006, Pages 44-49

  Popov, Sergiy ^a,b,c  

^a KHARKIV NATIONAL UNIVERSITY OF RADIO ELECTRONICS   (Ukraine)

^b IEEE   (Ukraine)

^c IEEE ^*  (Ukraine)

Author keywords

Autoassociative neural network; Data visualization; Dimensionality reduction; Incomplete data set; Missing values; Network training

Indexed keywords

EID: 33645755777     PISSN: 20294913     EISSN: 20294921     Source Type: Journal    
DOI: 10.3846/13928619.2006.9637721     Document Type: Conference Paper

References (11)

1. Jolliffe, I. T. Principal component analysis. Springer Series in Statistics. New-York: Spinger-Verlag, 1986.
2. Pearson, K. On lines and planes of closest fit to systems of points in space. The London, Edinburgh and Dublin Philosophical Magazine and Journal of Sciences, No 6, 1901, p. 559-572.
3. Hastie, T.; Stuetzle, W. Principal curves. Journal of the American Statistical Association, Vol 84, 1989, p. 502-516.
4. Kegl, B.; Krzyzak, A.; Linder, T.; Zeger, K. Learning and design of principal curves. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 22, 2000, p. 281-297.
5. Kruskal, J. B.; Wish, M. Multidimensional Scaling. Newbury Park: Sage Publications, 1978.
6. Torgerson, W. S. Multidimensional scaling: I. Theory and method. Psychometrika, Vol 17, 1952, p. 401-419.
7. Kramer, M. A. Nonlinear principal component analysis using autoassociative neural networks. Journal of the American Institute of Chemical Engineers, Vol 37, 1991, p. 233-243.
8. Oja, E. Data compression, feature extraction, and autoassociation in feedforward neural networks. In: Proceedings of the International Conference on Artificial Neural Networks. Edited by T. Kohonen, M. Makisara, O. Simula and J. Kangas,-Vol 1, 1991, p. 737-745.
9. Roweis, S. EM algorithm for PCA and SPCA. Neural Information Processing Systems, Vol 10, 1997, p. 626-632.
10. Baldi, P.; Hornik, K. Neural networks and principal component analysis: learning from examples without local minima. Neural Networks, Vol 2, 1989, p. 53-58.
11. Bourlard, H.; Kamp, Y. Auto-association by multilayer perceptrons and singular value decomposition. Biological Cybernetics, Vol 59, 1988, p. 291-294.