Hi Jeff,
As far as I am reading... the clustering methods, you are referring to, obtain groups of polygons that contain similar attibute data (I mean the distance within the mean attribute value of the group and that of the the group elements is minimized). Is it right?
I am looking for a method that group polygons with different data attribute values, then the group is suppossed to take as a final attribute value the addition of its components and the resulting groups should have similar total values between them.
Example: I sending an png image that illustrates how should I group 6 polygons geographically in 3 clusters.
Can I do this with the R toolbox??, sorry but I don't find the clustering method..... if not, how can I do this in ArcGIS??,
Thanks again!