Issue No. 06 - November/December (2010 vol. 30)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2010.101
Yifan Hu , AT&T Labs Research, Florham Park
Emden R. Gansner , AT&T Labs - Research, Florham Park
Stephen Kobourov , University of Arizona, Tucson
Information visualization is essential in making sense of large datasets. Often, high-dimensional data are visualized as a collection of points in 2D space through dimensionality reduction techniques. However, these traditional methods often don't capture the underlying structural information, clustering, and neighborhoods well. GMap is a practical algorithmic framework for visualizing relational data with geographic-like maps. This approach is effective in various domains.
information visualization, clustering, graph drawing, graph coloring, maps, set visualization, computer graphics, graphics and multimedia
Y. Hu, S. Kobourov and E. R. Gansner, "Visualizing Graphs and Clusters as Maps," in IEEE Computer Graphics and Applications, vol. 30, no. , pp. 54-66, 2010.