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GMap: Drawing Graphs as Maps
[article]
2009
arXiv
pre-print
Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through dimensionality reduction techniques. However, these traditional methods often do not capture well the underlying structural information, clustering, and neighborhoods. In this paper, we describe GMap: a practical tool for visualizing relational data with geographic-like maps. We illustrate the effectiveness of this
arXiv:0907.2585v1
fatcat:5jfc3jhkbzfg3j64klw5yy6ufi