xtractvars function

Variable clustering based variable selection

Applies variable selection to data based on variable clusterings as resulting from corclust or CLV.

xtractvars(object, data, thres = 0.5)

Arguments

• object: Object of class cvtree applied to a corclust object or the summary() of a clv object as created by CLV.
• data: Data where variables are to be selected. Coloumn names must be identical to those used in corclust model.
• thres: Maximum accepted average within cluster correlation for selection of a variable.

Details

Of each cluster the first variable is selected as well as all other variables with an average within cluster correlation below thres.

Returns

The data is returned where unselected coloumns are removed.

References

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.

Author(s)

Gero Szepannek

See Also

See also corclust, cvtree and CLV.

Examples

data(B3)
    ccres <- corclust(B3)
    plot(ccres)
    cvtres <- cvtree(ccres, k = 3)
    newdata <- xtractvars(cvtres, B3, thres = 0.5)