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A graph drawing algorithm for visualizing multivariate categorical data

by: Jingwei Huang, Jie Huang
Wuhan University Journal of Natural Sciences, Vol. 12, No. 2. (11 March 2007), pp. 239-242.

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Abstract  In this paper, a new approach for visualizing multivariate categorical data is presented. The approach uses a graph to represent multivariate categorical data and draws the graph in such a way that we can identify patterns, trends and relationship within the data. A mathematical model for the graph layout problem is deduced and a spectral graph drawing algorithm for visualizing multivariate categorical data is proposed. The experiments show that the drawings by the algorithm well capture the structures of multivariate categorical data and the computing speed is fast.


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