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For a given data matrix A and cluster centers/prototypes collected in the matrix P, the functions described here select a subset of statistic variables Q that mostly explains/justifies P as prototypes. The functions are useful to reduce the data dimension for classification and to discard masking variables for clustering.
Package details 


Author  Stefano Benati 
Maintainer  Stefano Benati <stefano.benati@unitn.it> 
License  GPL2 
Version  1.0 
Package repository  View on CRAN 
Installation 
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