Intelligently resolving point occlusion

Proceedings - IEEE Symposium on Information Visualization, INFO VIS

Volumn , Issue , 2003, Pages 131-136

  Trutschl, Marjan ^a   Grinstein, Georges ^b   Cvek, Urška ^b  

^a LOUISIANA STATE UNIVERSITY   (United States)

^b University of Massachusetts Lowell   (United States)

Author keywords

Data density; Data points; Data visualization; Design; Identifiable points; Information visualization; Jitter; Neural networks; Occlusion

Indexed keywords

DATA DENSITY; DATA POINTS; IDENTIFIABLE POINTS; INFORMATION VISUALIZATION; OCCLUSION;

INFORMATION ANALYSIS; INFORMATION SYSTEMS; JITTER; LOCATION; NEURAL NETWORKS; VISUALIZATION;

DATA VISUALIZATION;

EID: 35948978310     PISSN: 1522404X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INFVIS.2003.1249018     Document Type: Conference Paper

References (23)

1. CHAMBERS, J. M., CLEVELAND, W. S., KLEINER, B., AND TUKEY, P. A., 1983. Graphical Methods for Data Analysis, Wadsworth.
2. CHUAH, M., ROTH, S., MATTIS, J., AND KOLOJEJCHICK, J. 1995. SDM: Selective Dynamic Manipulation of Visualizations, In Proceedings of ACM Symposium on User Interface Software and Technology, 61-70.
3. CLEVELAND, W. S., AND MCGILL, R. 1984. Graphical Perception: Theory, Experimentation and Application to the Development of Graphical Methods, Journal of the American Statistical Association 79, 387, 531-554.
4. CLEVELAND,W. S. 1993. Visualizing Data, Hobart Press, Summit, NJ. EICK, S. G. 2000. Visual Discovery and Analysis, In IEEE Transactions on Visualization and Computer Graphics 6, 1, 44-58.
5. FEKETE, J.-D., AND PLAISANT, C. 1999. Excentric Labeling: Dynamic Neighborhood Labeling for Data Visualization, In Proceedings of CHI'99, ACM, New York, 512-519.
6. FISHER, R. A. 1936. The Use of Multiple Measurements on Taxonomic Problems, Annals of Eugenics 7, 179-188.
7. FRITZKE, B. 1994. Growing Cell Structures - a Self-Organizing Network for Unsupervised and Supervised Learning, Neural Networks 7, 9, 1441-1460.
8. GRINSTEIN, G. G., TRUTSCHL, M., AND CVEK, U. 2001. High-Dimensional Visualizations, In Proceedings of the Visual Data Mining Workshop KDD'01, ACM, New York.
9. HOFFMAN, P., GRINSTEIN, G. G., AND PINKNEY, D. 1999. Dimensional Anchors: a graphic primitive for multidimensional multivariate information visualizations, In Proceedings of the Workshop on New Paradigms in Information Visualization and Manipulation (NPIV), ACM Press, 9-16.
10. INSELBERG, A., AND DIMSDALE, B. 1990. Parallel coordinates: a Tool for Visualizing Multidimensional Geometry, In Proceedings of IEEE Visualization 1990, IEEE Computer Society Press, 361-378.
11. KANDOGAN, E. 2000. Star Coordinates: A Multi-dimensional Visualization Technique with Uniform Treatment of Dimensions, Late- Breaking Hot Topics of IEEE Information Visualization 2000, IEEE Computer Society Press, 4-8.
12. KOHONEN, T. 1982. Self-Organized Formation of Topologically Correct Feature Maps, Biological Cybernetics 43, 59-69.
13. KOHONEN, T. 1995. Self-Organizing Maps, Springer Series in Information Sciences 30.
14. KOIKKALAINEN, P., AND OJA, E. 1990. Self-Organizing Hierarchical Feature Maps, In International Joint Conference on Neural Networks IJCNN'90, 279-284.
15. KRAAIJVELD, M. A., MAO, J., AND JAIN, A. K. 1995. A Nonlinear Projection Method Based on Kohonen's Topology Preserving Maps, IEEE Transactions on Neural Networks 6, 3, 548-559.
16. MANSON, J. 1999. Occlusion in Two-Dimensional Displays: Visualization of Meta-Data, University of Maryland, College Park.
17. MERKL, D., AND RAUBER, A. 1997. Alternative Ways for Cluster Visualization in Self-Organizing Maps, In Proceedings of the Workshop on Self-Organizing Maps WSOM'97, Helsinki University of Technology, Finland, 106-111.
18. NOUR, M. A., AND MADEY, G. R. 1996. Heuristic and Optimization Approaches to Extending the Kohonen Self-Organizing Algorithm, European Journal of Operational Research 93, 2, 428-448.
19. OJA, E. 1982. A Simplified Neuron Model as a Principle Component Analyzer, Journal of Mathematical Biology 15, 267-273.
20. SU, M.-C., AND CHANG, H.-T. 2000. Fast Self-Organizing Feature Map Algorithm, IEEE Transaction on Neural Networks 11, 3, 721-733.
21. ULTSCH, A., AND VETTER, C. 1994. Self-Organizing-Feature-Maps Versus Statistical Clustering: A Benchmark, Technical Report 9, Department of Mathematics, University of Marburg, Marburg, Germany.
22. WONG, P. C., AND BERGERON, R. D. 1997. 30 Years of Multidimensional Multivariate Visualization, In Scientific Visualization: Overviews, Methodologies & Techniques, IEEE Computer Society Press, Los Alamitos, 3-33.
23. ZHAI, S., BUXTON, W., AND MILGRAM, P. 1996. The Partial-Occlusion Effect: Utilizing Semitransparency in 3D Human-Computer Interaction, ACM Transactions on Computer-Human Interaction 3, 3, 254-284.