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- W2111330212 abstract "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." @default.
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- W2111330212 date "2010-11-01" @default.
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- W2111330212 title "Visualizing Graphs and Clusters as Maps" @default.
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- W2111330212 doi "https://doi.org/10.1109/mcg.2010.101" @default.
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