Journal of the Korean Data and Information Science Society
- Volume 7 Issue 2
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- Pages.219-226
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- 1996
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- 1598-9402(pISSN)
On the Categorical Variable Clustering
- Kim, Dae-Hak (Department of Statistics, Catholic University of Taegu-Hyosung)
- Published : 1996.09.30
Abstract
Basic objective in cluster analysis is to discover natural groupings of items or variables. In general, variable clustering was conducted based on some similarity measures between variables which have binary characteristics. We propose a variable clustering method when variables have more categories ordered in some sense. We also consider some measures of association as a similarity between variables. Numerical example is included.
Keywords
- cluster analysis;
- categorical variable;
- measures of association;
- hierarchical clustering;
- dendrogram