Visual data mining

Statistics in Medicine

Volumn 22, Issue 9, 2003, Pages 1383-1397

  Wegman, Edward J ^a  

^a GEORGE MASON UNIVERSITY   (United States)

Author keywords

EDA; Grand tour; Knowledge discovery; Parallel co ordinates; Saturation brushing

Indexed keywords

ARTICLE; ASSOCIATION; CLASSIFICATION; CLUSTER ANALYSIS; CORRELATION ANALYSIS; DATA ANALYSIS; INFORMATION PROCESSING; MATHEMATICAL COMPUTING; PERIODICITY; QUANTITATIVE ANALYSIS; REGRESSION ANALYSIS; VISUAL SYSTEM;

COMPUTATIONAL BIOLOGY; COMPUTER GRAPHICS; DATA INTERPRETATION, STATISTICAL;

EID: 0037687879     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1502     Document Type: Article

References (18)

1. Wegman E. Huge data sets and the frontiers of computational feasibility. Journal of Computational and Graphical Statistics 1995; 4(4):281-295.
2. Wegman E. Visions: the evolution of statistics. Research in Official Statistics 1999; 2(1):7-19.
3. Inselberg A. The plane with parallel co-ordinates. Visual Computer 1985; 1:69-91.
4. Wegman E. Hyperdimensional data analysis using parallel co-ordinates. Journal of the American Statistical Association 1990; 85:664-675.
5. Wegman E, Solka J. On some mathematics for visualizing high dimensional data. Sankhya (A) 2002; 64:429-452.
6. Semple JG, Kneebone GT. Algebraic Projective Geometry. Oxford Science Publication: Oxford, 1952.
7. Dimsdale B. Conic transformations and projectivities. Technical Report 6320-2753, IBM Los Angeles Scientific Center, Santa Monica, CA, 1984.
8. Cleveland W, McGill R. Graphical perception: theory, experimentation, and application to the development of graphical methods. Journal of the American Statistical Association 1984; 79:531-554.
9. Asimov D. The grand tour: a tool for viewing multidimensional data. SIAM Journal on Scientific and Statistical Computing 1985; 6:128-143.
10. Buja A, Asimov D. Grand tour methods: an outline. In Computer Science and Statistics: Proceedings of the Seventeenth Symposium on the Interface, Allen D (ed.). North Holland: Amsterdam, 1985; 63-67.
11. Wegman E. The grand tour in k-dimensions. In Computing Science and Statistics: Proceedings of the 22nd Symposium on the Interface 1991; 127-136.
12. Wegman E, Luo Q. High dimensional clustering using parallel co-ordinates and the grand tour. Computing. Science and Statistics 1997; 28:352-360 (republished in Classification and Knowledge Organization, Klar R, Opitz O (eds). Springer-Verlag: Berlin, 1997; 93-101).
13. Wilhelm A, Symanzik J, Wegman E. Visual clustering and classification: the Oronsay particle size data set revisited. Computational Statistics 1999; 14(1):109-146.
14. Breiman L, Friedman J, Olshen R, Stone C. Classification and Regression Trees. Wadsworth: Pacific Grove, 1984.
15. Wegman E, Poston W, Solka J. Image grand tour. Automatic Target Recognition VIII - Proceedings of SPIE 1998; 3371:286-294 (republished, vol. 6, Automatic Target Recognition. The CD-ROM, Firooz Sadjadi (ed.). SPIE: Bellingham, WA, 1999).
16. Vanderluis JP. Enhanced visualization of cardiac electrophysiology using virtual leads. PhD dissertation, School of Computational Sciences, George Mason University, 2000.
17. Wegman E, Dorfman A. Visualizing cereal world. Computational Statistics and Data Analysis 2002 (to appear).
18. Wegman E, Carr D. Statistical graphics and visualization. In Handbook of Statistics 9: Computational Statistics, Rao CR (ed.). North Holland: Amsterdam, 1993; 857-958.