Data visualization through graph drawing

被引：12
|
作者：
Michailidis, G [1 ]
de Leeuw, J
机构：
[1] Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA
[2] Univ Calif Los Angeles, Dept Stat, Los Angeles, CA 90095 USA
来源：
COMPUTATIONAL STATISTICS | 2001年 / 16卷 / 03期
关键词：
multivariate categorical data; data visualization; graphs; majorization algorithms;
D O I：
10.1007/s001800100077
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
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.
引用
收藏
页码：435 / 450
页数：16
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