Translator Disclaimer
28 January 2008 Visual and analytical extensions for the table lens
Author Affiliations +
Many visualization approaches teach us that ease of use is the key to effective visual data analysis. The Table Lens is an excellent example of a simple, yet expressive visual method that can help in analyzing even larger volumes of data. In this work, we present two extensions of the original Table Lens approach. In particular, we extend the Table Lens by Two-Tone Pseudo Coloring (TTPC) and a hybrid clustering. By integrating TTPC into the Table Lens, we obtain visual representations that can communicate larger volumes of data while still maintaining precision. Secondly, we propose to integrate a data analysis step that implements a hybrid clustering based on self-organizing maps and hierarchical clustering. The analysis step helps to extract and communicate complementary structural information about the data and also serves to drive interactive information drill-down.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mathias John, Christian Tominski, and Heidrun Schumann "Visual and analytical extensions for the table lens", Proc. SPIE 6809, Visualization and Data Analysis 2008, 680907 (28 January 2008);


Collaborative data analysis with smart tangible devices
Proceedings of SPIE (February 02 2014)
A web-enabled visualization toolkit for geovisual analytics
Proceedings of SPIE (January 24 2011)
Geodesic self-organizing map
Proceedings of SPIE (March 10 2005)
EdgeMaps: visualizing explicit and implicit relations
Proceedings of SPIE (January 24 2011)

Back to Top