Targeted projection pursuit for interactive exploration of high- dimensional data sets

Proceedings of the International Conference on Information Visualisation

Volumn , Issue , 2007, Pages 286-292

  Faith, Joe ^a  

^a NORTHUMBRIA UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; INFORMATION SYSTEMS; INTERACTIVE COMPUTER SYSTEMS; USER INTERFACES;

DATA SETS; PROTOTYPE TOOLS; TARGETED PROJECTION PURSUIT;

DATA VISUALIZATION;

EID: 35348928862     PISSN: 10939547     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IV.2007.107     Document Type: Conference Paper

References (22)

1. Grinstein G, Trutschl M, Cvek U. (2001) High-dimensional visualizations, VII Data Mining Conference KDD Workshop 2001 (San Francisco-CA, USA, 2001), ACM Press: New York; 7-19.
2. Seo, J. and Shneiderman, B. (2005), A rank-by-feature framework for interactive exploration of multidimensional data, Information Visualisation, 4, 96-113.
3. Sammon, J.W. (1969), A nonlinear mapping for data structure analysis. IEEE Transactions on Computers, C-18(5):401-409, May 1969.
4. Schena M, et al (1995), Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science, 1995 Oct 20;270(5235):467-70.
5. Zhang, MQ. (1999), Large-scale gene expression data analysis: a new challenge to computational biologists. Genome Res, 9:681-688.
6. Adams et al (2006) Meningothelial meningioma in a mature cystic teratoma of the ovary, Pathologe Mar 23
7. Dudziak et al (2003), Latent Membrane Protein 1 of Epstein-Barr Virus Induces CD83 by the NF-?B Signaling Pathway. J Virol, 77(15): 8290-8298.
8. Golub, T.R. et al (1999) Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science, 286(5439):531-7.
9. Asimov, D. (1985). The Grand Tour: A Tool for Viewing Multidimensional Data. SIAM Journal of Scientific and Statistical Computing 6(1), pp 128-11.
10. Cook, D., Buja, A., Cabrera, J., and Hurley, H. (1995), Grand tour and projection pursuit, Journal of Computational and Graphical Statistics, 2(3), pp.225-250.
11. Cook, D. and Buja, A. (1997), Manual Controls for High-Dimensional Data Projections, Journal of Computational and Graphical Statistics, 6(4), pp. 464-480.
12. Dudoit, S., Fridlyand, J., and Speed, T. P. (2002) Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of the American Statistical Association, Vol. 97, No. 457, p.77-87.
13. Faith, J and Mintram, R. and Angelova, M. (2006) Targeted Projection Pursuit for Gene Expression Data Classification and Visualisation, Bioinformatics, 22(21):2667.
14. Faith, J. and Brockway, M. (2006), Targeted Projection Pursuit Tool for Gene Expression Visualisation. Journal of Integrative Bioinformatics, 3(2):43.
15. Friedman, J. H., and Tukey, J. W., (1974), A Projection Pursuit Algorithm for Exploratory Data Analysis, IEEE Transactions on Computers, C- 23, 881-890.
16. Gurel, A. (2003) Feed Forward Neural Networks - A Java Implementation V2.0, http://aydingurel.brinkster.net/neural
17. Khan, J. et al (2001) Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nature Medicine, 7(6): 673-679.
18. Lee, E.K, Cook, D., Klinke, S. and Lumley, T. (2005), Projection Pursuit for Exploratory Supervised Classification, Journal of Computational and Graphical Statistics, 14(4), 831-846
19. Witten, I.H. and Frank, E. (2005) Data Mining: Practical machine learning tools and techniques, 2nd Edition, Morgan Kaufmann, San Francisco, 2005.
20. Johansson, G. (1973), Visual perception of biological motion and a model for its analysis. Perception and Psychophysics, 14, 201-211.
21. Blake, R., Perception of Biological Motion, http://www.psy. vanderbilt.edu/faculty/blake/BM/BioMot.html
22. Scherf, U. et al (2000) A Gene Expression Database for the Molecular Pharmacology of Cancer, Nature Genetics, 24(3), 236-244.