GMap: Visualizing Graphs and Clusters as Maps

GMap: Visualizing Graphs and Clusters as Maps (2009)

by Emden Gansner , Stephen Kobourov , Yifan Hu

Citations:

3 - 2 self

Datum	Value	Source
TITLE	GMap: Visualizing Graphs and Clusters as Maps	SVM HeaderParse 0.2
AUTHOR NAME	Emden Gansner	SVM HeaderParse 0.2
AUTHOR ADDR	AT&T Labs- Research, 180 Park Ave, Florham Park, NJ 07932	SVM HeaderParse 0.2
AUTHOR NAME	Stephen Kobourov	SVM HeaderParse 0.2
AUTHOR AFFIL	University of Arizona	SVM HeaderParse 0.2
AUTHOR ADDR	1040 E 4th Street, Tucson, AZ 85721.	SVM HeaderParse 0.2
AUTHOR NAME	Yifan Hu	SVM HeaderParse 0.2
AUTHOR ADDR	AT&T Labs- Research, 180 Park Ave, Florham Park, NJ 07932.	SVM HeaderParse 0.2
ABSTRACT	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 approach with examples from several domains. All the maps referenced in this paper can be found in www.research.att.com/˜yifanhu/GMap.	SVM HeaderParse 0.2
CITATIONS	31 found	ParsCit 1.0