As I understand GRASS can handle both conditions (i.e. the number of clusters (through the parameter classes) and "iterations" as the criteria to converge. The algorithm will stop as soon as any of the conditions are met first.
https://grass.osgeo.org/grass64/manuals/i.cluster.html On Thu, Nov 26, 2015 at 1:03 PM, Michael Barton <[email protected]> wrote: > 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 > > > > > > > > > > > > > > > > > _______________________________________________ > grass-user mailing list > [email protected] > http://lists.osgeo.org/mailman/listinfo/grass-user >
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