Hi all --
I've got a large dataset which consists of a bunch of different scales, and I'm preparing to perform a cluster analysis. I need to normalize the data so I can calculate the difference matrix.
First, I didn't see a function in R which does normalization -- did I miss it? What's the best way to do it?
Second, what's the best way to deal with missing values? Obviously, I could just set them to 0 (the mean of the normalized scales), but I'm not sure that's the best way.
-- Chris
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