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

Paco

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