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Determination of the Optimal Number of Clusters in Statistical Software Systems
Řezanková, H. ; Húsek, Dušan
The paper deals with approaches to determination of the optimal number of groups of objects which are implemented in clustering algorithms in commercial statistical software packages. Some of these approaches are applied to the example of finding groups of deputies of the Russian parliament on the base of roll-call votes in 2004. The capabilities of software packages S-PLUS, SAS, SPSS, and SYSTAT are described.

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