“Dimensional compositing for visualizing high-dimensional dataset” by Ren, Gooch and Watson

  • ©Pin Ren, Bruce Gooch, and Benjamin Watson




    Dimensional compositing for visualizing high-dimensional dataset



    The scalability problem in high-dimensional dataset visualization has been a difficult problem. In this poster we propose a novel visualization technique which utilizes image compositing to solve this scalability problem, and a cube-like visual metaphor to integrate the new dimensional compositing and traditional parallel co-ordinate visualization. In order to effectively visualize the complex high-dimensional datasets, we also developed supporting interaction and navigation functionalities.


    1. Ren, P., and Watson, B. 2005. Histographs: Interactive visualization of complex data with graphs. Tech. Rep. NWU-CS-05-12, Department of Computer Sciences, Northwestern University.
    2. Szalay, A. S., Gray, J., Thakar, A. R., Kunszt, P. Z., Malik, T., Raddick, J., Stoughton, C., and Vandenberg, J. 2002. The sdss skyserver: public access to the sloan digital sky server data. In SIGMOD 2002.

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