H-MDS: A new approach for interactive visualization with multidimensional scaling in the hyperbolic space

Information Systems

Volumn 29, Issue 4, 2004, Pages 273-292

  Walter, Jörg A ^a  

^a BIELEFELD UNIVERSITY   (Germany)

Author keywords

Focus+context; H MDS; Hyperbolic multi dimensional scaling; Semantic browsing; Text mining; Visualizing high dimensional data

Indexed keywords

DATA MINING; DATA REDUCTION; HUMAN COMPUTER INTERACTION; INFORMATION DISSEMINATION; MATHEMATICAL MODELS; PATTERN RECOGNITION; REAL TIME SYSTEMS; SEMANTICS; WEB BROWSERS; WEBSITES;

H-MDS; HYPERBOLIC MULTI-DIMENSIONAL SCALING; SEMANTIC BROWSING; TEXT MINING; VISUALIZING HIGH-DIMENSIONAL DATA;

INFORMATION SCIENCE;

EID: 1242331444     PISSN: 03064379     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.is.2003.10.002     Document Type: Conference Paper

References (20)

1. John Lamping and Ramana Rao. Laying out and visualizing large trees using a hyperbolic space, in: ACM Symposium on User Interface Software and Technology, 1994, pp. 13-14.
2. P. Pirolli, S.K. Card, M.M. Van Der Wege, Visual information foraging in a focus+context visualization, in: CHI, ACM, Seattle, Washington 2001, pp. 506-513.
3. Risden K., Czerwinski M.P., Munzner T., Cook D.B. An initial examination of ease of use for 2d and 3d information visualizations of web content. Int. J. Hum. Comput. Stud. 53(5):2000;695-714.
4. Ritter H. Self-organizing maps on non-euclidean spaces. Oja S., Kaski E. Kohonen Maps. 1999;97-110 Elsevier, Amsterdam.
5. J. Ontrup, H. Ritter, Text categorization and semantic browsing with self-organizing maps on non-Euclidean spaces, in: Proceedings of the PKDD-2001, Lecture Notes in Artificial Intelligence, Vol. 2168, Springer, Berlin, 2001, pp. 338-349.
6. Coxeter H.S.M. Non-Euclidean Geometry. 1957;University of Toronto Press, Toronto, Ont.
7. Thorpe J.A. Elementary Topics in Differential Geometry. 1979;Springer, Berlin.
8. Frank Morgan, Riemannian Geometry: a Beginner's Guide, Jones and Bartlett Publishers, Boston, MA 1993.
9. J. Lamping, R. Rao, P. Pirolli, A focus+context technique based on hyperbolic geometry for viewing large hierarchies, in: ACM SIGCHI Conference on Human Factors in Computing Systems, 1995, pp. 401-408.
10. Thurston W.P., Weeks J.R. The mathematics of three-dimensional manifolds. Sci. Am. July:1984;94-107.
11. T. Munzner, H3: laying out large directed graphs in 3d hyperbolic space, in: Proceedings of the 1997 IEEE Symposium on Information Visualization, Phoenix, AZ, 1997, pp. 2-10.
12. T. Munzner, Drawing large graphs with h3viewer and site manager, in: Proceedings of Graph Drawing '98, Montreal, Canada, Lecture Notes in Computer Science, Vol. 1547, Springer, Berlin, 1998, pp. 384-393.
13. Cormack R.M. A review of classification. J. R. Stat. Soc. A. 134:1971;321-367.
14. Sammon J.W. Jr. A non-linear mapping for data structure analysis. IEEE Trans. Comput. 18:1969;401-409.
15. T.F. Cox, M.A. Cox, Multidimensional Scaling, Monographs on Statistics and Applied Probability, Chapman & Hall, London, 1994.
16. Press W., Flannery B., Teukolsky S., Vetterling W. Numerical Recipes in. C - the Art of Scientific Computing:1988;Cambridge University Press, Cambridge.
17. deLeeuw J., Stoop I. An upper bound for SSTRESS. Psychometrika. 51:1986;149-153.
18. H. Klock, J. Buhmann, Multidimensional scaling by deterministic annealing, in: Proceedings of the EMMCVPR, Venice, 1997.
19. Salton G., Buckley C. Term-weighting approaches in automatic text retrieval. Inf. Process. Manage. 5(24):1988;513-523.
20. J. Walter, H. Ritter, On interactive visualization of high-dimensional data using the hyperbolic plane, in: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, SigKDD, August, Edmonton, Canada, 2002, pp. 123-131.