Visualization of Sets

(a) Permutation Matrix View	(b) Scatter View
(c) Cluster View	(d) Similarity Lattice View

Project Description :

We explore sets visualization, which is a new research field in information visualization. We propose four approaches for representing sets – scatter view, similarity lattice view, cluster view and permutation matrix view. They cover most of the demands of sets visualization, including one-to-multi, multi-to-multi similarity, grouping and relevance. Three experiments on website directory names, paper keywords, and picture annotations demonstrate the effectiveness and efficiency of our solution.

If you have any comment or question, send an email to Ming Luo or Xu Liu

Participants:

• Xu, Liu, PhD Student, Computer Science
• Ming Luo, PhD Student, Computer Science
• Ben Shneiderman, Professor, Computer Science

Paper:

• Draft (Last Update 3:00pm , May 3, 2005)

Presentations:

• Progress Report [ppt]
• Final Presentation [ppt]
• Handout [pdf]

Demos & Download:

SetComVis is a standalone Windows® application running on a general PC environment. It is freely downloadable for academic and/or research purposes.
Demo of directory names on web sites [561KB]
Demo of paper keywords [561KB]
Demo of images [1911KB]
Demo of Anti-Overlap [56KB]

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Last updated May 16, 2005