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dissemina
2004 Dec 09
1
more clustering questions
...ower scores denote lower degrees of similarity (8 denote two items
that are almost the same, etc). s1 is closely related to s4 and s5,
but slightly more closely related to s4. s2 is related similarly at
some medium level to s1 and s5.
i converted this into a dissimilarity matrix with R using
dissmini <- max(mini)-mini
this results in:
s1 s2 s3 s4 s5
s1 0 5 10 2 3
s2 5 0 10 10 5
s3 10 10 0 10 10
s4 2 10 10 0 10
s5 3 5 10 10 0
if I then do
plot(cmdscale(dissmini), type="n"); text(cmdscale(dissmini),
row.names(cmdscale(dissmini)))
I end up with a plot that shows...