Issue No. 06 - November/December (2010 vol. 30)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2010.101
Emden R Gansner , AT&TLabs Res., Florham Park, NJ, USA
Yifan Hu , AT&TLabs Res., Florham Park, NJ, USA
Stephen G Kobourov , Univ. of Arizona, Tucson, AZ, USA
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.
Books, History, Writing, Data visualization, Ethics, Clustering algorithms, Sparks
E. R. Gansner, Yifan Hu and S. G. Kobourov, "Visualizing Graphs and Clusters as Maps," in IEEE Computer Graphics and Applications, vol. 30, no. 6, pp. 54-66, 2010.