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Cluster Analysis Using Principal Coordinates for Binary Data
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 Title & Authors
Cluster Analysis Using Principal Coordinates for Binary Data
Chae, Seong-San; Kim, Jeong, Il;
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 Abstract
The results of using principal coordinates prior to cluster analysis are investigated on the samples from multiple binary outcomes. The retrieval ability of the known clustering algorithm is significantly improved by using principal coordinates instead of using the distance directly transformed from four association coefficients for multiple binary variables.
 Keywords
Agglomerative Clustering Algorithm;Principal Coordinates;Association Coefficients;
 Language
English
 Cited by
1.
Cluster Analysis with Balancing Weight on Mixed-type Data,;;;

Communications for Statistical Applications and Methods, 2006. vol.13. 3, pp.719-732 crossref(new window)
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