Data Visualization through Graph Drawing

George Michailidis and Jan Leeuw
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George Michailidis: The University of Michigan
Jan Leeuw: University of California, Los Angeles

Computational Statistics, 2001, vol. 16, issue 3, No 9, 435-450

Abstract: Summary In this paper the problem of visualizing categorical multivariate data sets is considered. By representing the data as the adjacency matrix of an appropriately defined bipartite graph, the problem is transformed to one of graph drawing. A general graph drawing framework is introduced, the corresponding mathematical problem defined and an algorithmic approach for solving the necessary optimization problem discussed. The new approach is illustrated through several examples.

Keywords: Multivariate categorical data; data visualization; graphs; majorization algorithms (search for similar items in EconPapers)
Date: 2001
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s001800100077

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