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Generalization of point data

Question asked by mohangis on Jan 9, 2014
Latest reply on Jan 9, 2014 by timw1984dev
I have a large set of spatially distributed point data with certain values.  I need to reduce the number of points.  The basis of reduction is to identify points that are within a proximity of, say 100 meters.  If more than one point exists, then a new point (located at its center / centroid) should be created which should now have the mean of all points that have been merged.

Can I do this without serious programming? May be a long but workable solution using available tool sets?