I have a database which contains Lat/Long pairs to identify the location of points of interest. I would like to group the points of interest into groups of 10. The group should be geographically local and contain exactly 10 points. Each group should be of a minimum area.
I've looked at various implementations in R but none of them (that I can see) allow you to specify a definite cluster size.
I'd also appreciate a pointer to any beginner level R tutorials as it's all a bit foreign to me at the moment.
(I previously asked this question Grouping map points into fixed cluster sizes but I don't think I was exact enough in my question to get a good answer.)
Geographically local - I think I mean that groups shouldn't significantly overlap. In my application (allocating people to groups for monitoring purposes) it would be ideal if each group was as small as possible in physical area.
Minimum area - again, trying to keep the group area to a minimum. I suppose this could be quantified as keeping the each group's area below a specified threshold (to avoid dozens of small groups and one large one).