Applies variable selection to data based on variable clusterings as resulting from
Object of class
Data where variables are to be selected. Coloumn names must be identical to those used in corclust model.
Maximum accepted average within cluster correlation for selection of a variable.
Of each cluster the first variable is selected as well as all other variables with an average within cluster correlation below
The data is returned where unselected coloumns are removed.
Roever, C. and Szepannek, G. (2005): Application of a genetic algorithm to variable selection in fuzzy clustering. In C. Weihs and W. Gaul (eds), Classification - The Ubiquitous Challenge, 674-681, Springer.
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