Dear all, I am wondering if there is a direct function (I cannot find any) in R, to obtain, a "factor" vector to identify which points could be grouped in a set, using a specific threshold distance as clustering criterion.
#e.g, with 7 points with coordinates: x <- c(1.01,0.95,1.05,1.03,3.03,2.99,3.04) y <- c(3.01,3.02,3.04,5.23,2.01,2.02,1.98) # and, let's say, distance threshold 0.5, the answer would be: (1,1,1,2,3,3,3) # where the threshold is the maximum distance between any two points for each cluster A better approach would be that threshold could be specified as the distance between any point in each cluster, and its corresponding center of mass for that cluster, but I guess this would require some loops. Isn't it? S, I would be happy enough with the abovementioned approach. If there isn't a direct function, don't worry. I'll try to find a solution computing distances... Thanks, Javier --- > is it possible to load a complete Grass mapset into a raster stack or > brick > with a single command? > > -- > View this message in context: > http://r-sig-geo.2731867.n2.nabble.com/Grass-and-raster-package-tp5667199p5667199.html > Sent from the R-sig-geo mailing list archive at Nabble.com. > > _______________________________________________ > R-sig-Geo mailing list > R-sig-Geo@stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo