Hi, I've playd with this kind of problem before, have yoiu looked at
principal coordinates? You can use the cmdscale() function in R to take the
eigenstructure of your distance matrix and plot the differences in low
dimensional space, it can be very instructive as to the dissimilarity
between your
Hi,
I have a set of nodes and a dissimilarity matrix for them, as well as a csv
file in which the diss matrix has been converted to [node_1, node_2,
dissimilarity] format. I would like to visualize this as a graph in
Euclidean space (that is, similar nodes clumped together in clusters),
rather th
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