Hi, while working with decision trees and unbalanced data, I came across the
use of the Hellinger distance as an alternative to information gain [1,2],
when dealing with skewed data. Does anybody know of R implementations of
this approach to decision trees?

Thanks,

[1] http://www.cse.nd.edu/Reports/2008/TR-2008-06.pdf
[2] http://csmr.ca.sandia.gov/~wpk/slides/wdmda-sem.pdf
-- 
Rajarshi Guha
NIH Chemical Genomics Center

	[[alternative HTML version deleted]]


