Dimensional compositing for visualizing high-dimensional dataset

  • Authors:
  • Pin Ren;Bruce Gooch;Benjamin Watson

  • Affiliations:
  • Northwestern University;Northwestern University;North Carolina State University

  • Venue:
  • ACM SIGGRAPH 2006 Research posters
  • Year:
  • 2006

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Abstract

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.