Visualization of high-dimensional data using an association of multidimensional scaling to clustering

2004 IEEE Conference on Cybernetics and Intelligent Systems

Volumn , Issue , 2004, Pages 252-255

  Naud, Antoine ^a  

^a NICOLAUS COPERNICUS UNIVERSITY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; HIERARCHICAL SYSTEMS; INTERNET; MULTIVARIABLE CONTROL SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; TOPOLOGY; VISUALIZATION;

CLUSTERING; DATASETS; HIGH-DIMENSIONAL DATA; SCALING;

DATA MINING;

EID: 11244249406     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. B. Baldi and K. Horaik "Neural networks and principal components analysis: Learning from examples without local minima," Neural networks, vol. 2, pp. 53-58, 1989.
2. W. Basalaj "Incremental multidimensional scaling method for database visualization," Proceedings of the Visual Data Exploration and Analysis VI, SPIE, vol. 3643, pp. 149-158, 1999.
3. C.M. Bishop, J.F.M. Svensen and C.K.I. Williams "GTM: The Generative Topographic Mapping," Neural Computation vol. 10(1), pp. 215-234, Jan. 1998.
4. C.L Blake and C.J. Merz, "UCI Repository of machine learning databases," Irvine, CA: University of California, Department of Information and Computer Science, 1998.
5. M.Á. Careira-Perpiñán "A review of dimension reduction techniques," CS-96-09, Dept. of Computer Science, University of Sheffield, UK, 1997.
6. C.L. Chang and R.C.T. Lee "A heuristic relaxation for nonlinear mapping in cluster analysis," IEEE Trans. Systems, Man, and Cybernetics, vol. SMC-3, pp. 197-200, 1973.
7. P. Demartines and J. Hérault "Curvilinear Component Analysis: A Self-Organizing Neural Network for Nonlinear Mapping of Data Sets," IEEE Trans. Neural Networks, vol. 8(1), pp. 148-154, Jan. 1997.
8. R. Durbin and D. Willshaw "An analogue approach to the travelling salesman problem using an elastic net method," Nature vol. 326(6114), pp. 689-691, Apr. 1987.
9. J.H. Friedman and J.W. Tukey "A projection pursuit algorithm for exploratory data analysis," IEEE Trans. Computers vol. C-23(9), pp. 881-890, 1974.
10. I.T. Jolliffe Principal Components Analysis, Springer Series in Statistics, Springer-Verlag, Berlin, 1986.
11. T. Kohonen Self-Organizing Maps Heidelberg, Berlin: Springer-Verlag, 1995.
12. T. Kohonen, J. Hynninen, J. Kangas, J. Laaksonen and K. Torkkola "LVQ_PAK: The Learning Vector Quantization Program Package" TR A30, Helsinki University of Technology, Laboratory of Computer and Information Science, Finland, 1996.
13. J.B. Kruskal "Non metric multidimensional scaling: a numerical method," Psychometrika, vol. 29, pp. 115-129, 1964.
14. J. Mao and A.K. Jain "Artificial neural networks for feature extraction and multivariate data projection," IEEE Trans. on Neural Networks, vol. 6(2) pp. 296-317, 1995.
15. A. Naud and W. Duch "Interactive data exploration using MDS mapping," Proceedings of the Fifth Conference on Neural Networks and Soft Computing, Zakopane, pp. 255-260, 2000.
16. A. Naud A. Neural and statistical methods for the visualization of multidimensional data, PhD thesis, N. Copernicus University, Toruń, Poland, 2001.
17. E. Oja "Principal components, minor components and linear neural networks," Neural Neworks, vol. 5, pp. 927-935, 1992.
18. E. Pekalska, D. de Ridder, R.P. Duin and M.A. Kraaijveld "A new method of generalizing Sammon mapping with application to algorithm speed-up," Proceedings of the 5th Annual Conference of the Advanced School for Computing and Image, Heijen, NL, pp. 221-228, 1999.
19. J.W. Sammon "A nonlinear mapping for data analysis," IEEE Trans. Computers vol. C-18(5), pp. 401-409, 1969.
20. B. Schölkopf, A. Smola and K.-R. Müller "Nonlinear Component analysis as a Kernel Eigenvalue Problem," Neural Computation, vol. 10(5), pp. 1299-1319, July '1998.
21. M.E. Tipping (1996), Topographic mappings and feed-forward neural networks. PhD Thesis, the University of Aston in Birmingham.