So as I understand it SOM is primarily a visualization tool and clustering is a logical next step after you construct a SOM from data. Typically, the clustering is subjective in that after looking at your SOM you can 'see' N clusters and then from there you would go on to cluster (k means, hierarchical etc.) the SOM nodes with this N as your parameter. Is there a nonsubjective (maybe nonparametric?) way to cluster the SOM nodes (i.e. without first looking at the SOM to determine the number of distinct clusters)? Thanks
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