
Dear R Users
I am looking at carrying out Multivariate Supervised Discretization on a 
set of continuous attributes to determine cut off values on each attribute 
which would allow best explanation of a binary outcome variable.
I understand that there is an algorithm for doing this (The HyperCluster 
Finder Algorithm from the paper -Muhlenbach F., & Rakotomalala R. (2002). 
Multivariate Supervised Discretization, a Neighborhood Graph Approach. 
Proceedings of the 1st IEEE International Conference on Data Mining 
(ICDM-2002), 314-321.)
I donot know if this implementation is available in R already
Does someone know if there is any package that exists for running this 
algorithm? or does anybody have a function developed on this basis?

Thanks

Regards
Vijayan Padmanabhan


"What is expressed without proof can be denied without proof" - Euclide. 


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