Machine Learning in R

September 10, 2009
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(This article was first published on Getting Genetics Done, and kindly contributed to R-bloggers)

Revolutions blog recently posted a link to R code by Joshua Reich with self-contained examples of using machine learning techniques in R, including various clustering methods (k-means, nearest neighbor, and kernel), recursive partitioning (CART), principle components analysis, linear discriminant analysis, and support vector machines.  This post also links to some slides that go over the basics

To leave a comment for the author, please follow the link and comment on his blog: Getting Genetics Done.

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