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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