Hello,
Please also reply to the list.
I am not really familiar with this calculation, but it is maybe due to
the fact you defined 8 nodes for your SOM, but your original data are
only classified within 3 nodes.
> datissimi = som(test, grid=somgrid(xdim=2, ydim=4, topo='rectangular'),
> rlen=500
Hello,
Your example is difficult to reproduce.
Please
1. use dput() to attach data
2. indicate the package(s) you used. There are at least 3 packages
with a "som" function. It seems you used "RSNNS".
And when I run your code, there is no "unit.classif" in "datissimi"
> datissimi$unit.classif
NU
I'm trying to compute the Silhouette value of a clustering partition done with
SOM method using the function intCriteria of the clusterCrit package but it
returns me a Nan value: somebody knows why?
To simplify my case, here there is an example:
< test
[,1] [,2] [,3] [,4]
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