Hi Tina,
What's wrong with what you did?
The output object of som() contains the classification of each sample.
You probably do need to read more about self-organizing maps, since
you specified you wanted the samples classified into nine groups, and
that's unlikely to be your actual intent.
I h
Search!
the rseek.org site gives many hits for "self organizing maps", including
the som package among others.
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic stri
Dear All,
Who can I use Self Organizing Map (SOM) results to cluster samples? I have
tried following but this gives me only the clustering of grids, while I
want to cluster (150) samples:
library(kohonen)
iris.sc <- scale(iris[, 1:4])
iris.som <- som(iris.sc, grid=somgrid(xdim = 3, ydim=3, topo="
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