search for: maxclusters

Hello: What I want to do is quite simple, but I can't find a way. I have a data frame with several points (x and y coords). I want to add another column with cluster membership. For example aggregate all the points that stand within a distance of 40 from each other. I've tried using "nncluster" from the package nnclust, but the results are not correct, for some

Dear All According to the identify.hclust documentation the function "cuts the tree at the vertical position of the pointer and highlights the cluster containing the horizontal position of the pointer". When I carry out this, the tree isn't cut where I click - in fact, there seems to be a limit below which I cannot go. Consider the following code: mat <- matrix(rnorm(5000),

...means(), but it's in C and FORTRAN and I'm not quite sure how to get at it. Has anybody looked into the differences in the implementations or have any thoughts on the matter? Below is the code I'm using in each case. fit=kmeans(obs[,-1],centers,nstart=25) * proc* *fastclus* data=std maxclusters=*2* maxiter=*100* outiter drift converge=*0.01* outseed=centers out=cluster; var x y z; * run*; Thanks, Andy [[alternative HTML version deleted]]

I had a look at the online documentation, and didn't see from that what is my problem. If I should have, pardon me. Here is my session. As I understand the documentation, this should work with only an hclust object. I get a similar error when in include a FUN argument. I am using V2.4.0. > hc Call: hclust(d = dist(mtx2, method = "manh"), method =