Machine Learning in R

September 10, 2009

(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

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