Interactive Visualizaton of Large Data

Exploratory Visualization

• Exploration-dominant investigation
• Example Approach
  • Strict upper bound on complexity
  • Theshold proportional to screen complexity
  • View-dependent detail management
  • Closely-spaced levels of detail
  • On-the-fly development of heirarchial structure
• Optimal interactivity is extremely important
  1. Cluster grouping
  2. Feature extraction based on simple models
  3. User chooses subspace or new control variable
  4. More precise clustering, feature extraction
  5. Feature examination via octrees

Approaches to the Problem
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