Forgive me if this is a naive question.
I have a large table of similarities, 8000x8000 which I would like to analyse, e.g. cluster and plot using pca etc. The table is largely (though not exactly symmetrical and all values are between 0 and 1 and takes up 400M on disk. However I'm struggling to get KNIME to do anything on it without running out of heap. Anyone got a good idea of how to proceed? So far I've tried PCA directly and tried filtering but no good. I'm sure there is an obvious approach but I just can't see it.
Thanks in advance for any help!