Either way, it would seem to me that cutree(tree, h=height) could be easily implemented as cutree(tree, k=sum(tree$height>height)+1) - why isn't it?
Or is this not really the same, despite what seems to me? pon., 15 kwi 2019 o 01:30 Bert Gunter <bgunter.4...@gmail.com> napisał(a): > > Inline. > > Bert Gunter > > > On Sun, Apr 14, 2019 at 4:12 PM Leszek Nowina <leekoi...@gmail.com> wrote: >> >> > asdf = data.frame(x=c(1,2,3), y=c(4,5,6), z=c(7,8,9)) >> > cutree(agnes(asdf), h=100) >> Error in cutree(agnes(asdf), h = 100) : >> the 'height' component of 'tree' is not sorted (increasingly) >> > cutree(diana(asdf), h=100) >> Error in cutree(diana(asdf), h = 100) : >> the 'height' component of 'tree' is not sorted (increasingly) >> >> I'm not sure if I understand why this is the case. >> >> This is what I want: Cluster stuff by the //distances//, **not** by >> how many clusters I want to have. >> >> If two things are further from each other than X, they should go to >> different clusters. Otherwise, the same cluster. >> >> Is it unreasonable what I'm asking for? > > Yes. > > X and Y are at a distance 2. Y and Z are at a distance 2. X and Z are at a > distance 4. Your idea cannot be consistently applied if 3 is the cutoff for > clustering: Xand Z would have to go in different clusters but both be in the > same cluster as Y. > > Maybe you need to spend some time with the literature before trying to cook > up your own notions. > > Cheers, > Bert > > >> >> I image if I was to manually >> implement Agnes or Diana this would go like that: stop joining >> clusters if the smallest distance between any pair of clusters is >> larger than X (Agnes) or stop dividing clusters if the largest cluster >> has a diameter of X (Diana); but since both methods always join/divide >> to the very end I thought using cutree with a height parameter would >> give me what I need. It won't. >> >> Am I missing something? >> >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
