[R] About clustering techniques

From: pacomet <pacomet_at_gmail.com>
Date: Tue, 29 Jul 2008 16:09:09 +0200

Hello R users

It's some time I am playing with a dataset to do some cluster analysis. The data set consists of 14 columns being geographical coordinates and monthly temperatures in annual files

latitutde - longitude - temperature 1 -..... - temperature 12

I have some missing values in some cases, maybe there are 8 monthly valid values at some points with four non valid. I don't want to supress the whole row with 8 good/4 bad values as I wanna try annual and monthy analysis.

I first tried kmeans but found a problem with missing values. When trying without omitting missing values kmeans gives an error and when excluding invalid data too many values are excluded in some years of the data series.

Now I have been reading about pam, pamk and clara, I think they can handle missing values. But can't find out the way to perform the analysis with these functions. As I'm not an statistics nor an R expert the fpc or cluster package documentation is not enough for me. If you know about a website or a tutorial explaining the way to use that functions, with examples to check if possible, please post them.

Any other help or suggestion is greatly appreciated.

Thanks in advance


El ponent la mou, el llevant la plou
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