I am simply looking for a good tutorial that will walk me through how to create a SOM in R. I am reading Kohonen and Kaski's paper on using the maps to identify the structure of Welfare, and want to try the technique my self.
I think many of the examples in R have a lot to be desired. I have looked on the web and didn't find anything that I thought made the process easy to understand.
Any help you can provide will be greatly appreciated.
A few pointers:
- SOM package
- Kohonen package
Most of the SOM related packages are from the Chemometrics and Computational Physics area, but you also have a look at the cluster view on CRAN.
Edit: Incidentally, I'm not aware of any tutorials, but one good way to find examples is to google with ext:r. There are several "som" scripts that show up that way, including this example which shows how to use it with GGobi.
Shane already mentioned the kohonen
package. An introduction and tutorial can be found in the Journal of Statistical Software:
Self- and Super-organizing Maps in R: The kohonen Package
Did you look at the CRAN package SOM ?
GeoSpatial Data Mining course from edugi has pretty good materials.