Hi there,
whether clara is a proper way of clustering depends strongly on what your data
are and particularly what interpretation or use you want for your
clustering. You may do better with a hierarchical method after having defined a
proper distance (however this would rather go into statisti
Hi Dani,
If you are working with NMR data, which data pretreatment methods you
are using? 13112 variables for NMR data sounds too lot, you should apply
some data binning or peak picking methods for data reduction.
Also you must consider multicollinearity problems related to
spectroscopic data, the
Hello,
I have a large data matrix (68x13112), each row corresponding to one
observation (patients) and each column corresponding to the variables
(points within an NMR spectrum). I would like to carry out some kind of
clustering on these data to see how many clusters are there. I have
tried the
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