[R] Clustering with 'agnes'
sheth at economics.rutgers.edu
Wed Feb 4 20:36:55 CET 2004
Thanks for the tip. I already have row labels. My problem is, (referring to the
example below) how can I get R to tell me that upto three clusters, the points
are clustered around (0,0), (1,0) and (0,1)?
Perhaps it is not even possible, I am not sure.
Quoting Uwe Ligges <ligges at statistik.uni-dortmund.de>:
> Arnav Sheth wrote:
> > Hello,
> > I had a question regarding clustering using the agnes() function from the
> 'cluster' package.
> > I was wondering if anyone knew how I can identify cluster points after
> running the agnes function.
> > For example, I created a dataset with points randomly scattered around
> (0,0), (0,1) and (1,0). After clustering, the dendrogram shows all the
> clustered points and I get the ordering and height and the agglomerative
> coefficient. But nowhere do I see the three actual points listed. Although
> agnes clusters until there is one main cluster, it is clear that at three
> clusters, each of the clusters consist of points around the three main
> points. I was wondering if there was any way in which I can have R give me
> the actual cluster points at three (or any number, for that matter) clusters,
> ie (0,0), (0,1) and (1,0). A visual display of the clusters would be even
> > I have tried using idenfity after converting the agnes object to an hclust
> object, but that only gives me a listing of the points in each cluster.
> > I hope this question is clear. I am a little new with both clustering and
> using R for clustering, so please ask me to clarify if anything is unclear.
> > Your help would be most appreciated!
> See the example of ?agnes, where the points are labeled.
> Most easily use agnes() on a data.frame with rownames.
> Uwe Ligges
> > With regards,
> > Arnav
> > [[alternative HTML version deleted]]
> > ______________________________________________
> > R-help at stat.math.ethz.ch mailing list
> > https://www.stat.math.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide!
More information about the R-help