Hi all, I have just begun to use R and am hoping to receive some advice about the problem I need to solve. I have a file containing xy points that I need to find all significant clusters and write each of their xy coordinates to file(total points ~ 75000 and sig. cluster = 2500 points. I want to use a euclidean distance threshold to determine if a point belongs to a cluster.
My initial thought is to take a random (seed) point and write a region growing method to determine how many points belong to the cluster (basically, add to the cluster all points that are within the threshold and continue this until no points are with the threshold) . Once there are no neighboring points within the threshold, if the number of points added to the region (cluster) is greater than 2500 I would write all of the point's coordinates to a text file and remove them from the list of seed candidates and begin again. If the cluster size is less than 2500 I would simply remove the points as they are not significant. The process would continue until there are less than 2500 points remaining. Is there a package that would be helpful in this task? Thanks Don -- View this message in context: http://r.789695.n4.nabble.com/Simple-clustering-help-tp3668274p3668274.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
