Visualization and exploration of spatial probability density functions: a clustering-based approach

Udeepta D. Bordoloi; David L. Kao; Han-Wei Shen

doi:10.1117/12.539250

4 June 2004 Visualization and exploration of spatial probability density functions: a clustering-based approach

Udeepta D. Bordoloi, David L. Kao, Han-Wei Shen

Proceedings Volume 5295, Visualization and Data Analysis 2004; (2004) https://doi.org/10.1117/12.539250
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

We present an interactive visualization technique for spatial probability density function data. These are datasets that represent a spatial collection of random variables, and contain a number of possible outcomes for each random variable. It is impractical to visualize all the information at each spatial location as it will quickly lead to a cluttered image. We advocate the use of hierarchical clustering as a means of summarizing the information, and also as a tool to bring out meaningful spatial structures in the datasets. For clustering, we discuss a distance function which preserves the spatial correlation present in these datasets. To create an informative visualization of the clusters, we introduce a scheme of colors and patterns to represent statistical properties of the clusters.

Citation Download Citation

Udeepta D. Bordoloi, David L. Kao, and Han-Wei Shen "Visualization and exploration of spatial probability density functions: a clustering-based approach", Proc. SPIE 5295, Visualization and Data Analysis 2004, (4 June 2004); https://doi.org/10.1117/12.539250

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