I'm trying out GRASS's unsupervised classification functions. As I understand it, it is a 2 step process.
1. run i.cluster to get cluster signatures 2. run i.maxlik using the cluster signatures to generate the spatial clusters I've varied the parameters several times, and AFAICT, setting the initial number of clusters also determines the final number. In other unsupervised clustering routines I've used, this is not the case. Because the clustering iterates until the convergence value is reached, the final number of clusters can be different from the initial number. Can anyone offer insight on this for GRASS? Thanks Michael ____________________ C. Michael Barton Director, Center for Social Dynamics & Complexity Professor of Anthropology, School of Human Evolution & Social Change Head, Graduate Faculty in Complex Adaptive Systems Science Arizona State University voice: 480-965-6262 (SHESC), 480-965-8130/727-9746 (CSDC) fax: 480-965-7671 (SHESC), 480-727-0709 (CSDC) www: http://www.public.asu.edu/~cmbarton, http://csdc.asu.edu
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