Clustering with 'agnes'
Hey Christian, That clarifies a lot of things. Thank you. With regards, Arnav ----- Original Message ----- From: "Christian Hennig" <fm3a004 at math.uni-hamburg.de> To: "Arnav Sheth" <sheth at economics.rutgers.edu> Cc: "Uwe Ligges" <ligges at statistik.uni-dortmund.de>; <R-help at stat.math.ethz.ch> Sent: Thursday, February 05, 2004 8:02 AM Subject: Re: [R] Clustering with 'agnes'
Hi, the underlying principle of hierarchical clustering is *not* that the clusters can be represented by some centroid points. Most methods are distance based, i.e. they can be calculated also in absence of any R^p representation of the points. If you want to recover centroids, you should do kmeans, normal mixture clustering (mclust) or pam/clara. Of course you can also take the points belonging to an agnes cluster and compute the mean vector (or any other summary statistic), but that's not what hierarchical clustering is meant to do (it may be reasonable with Ward's method, though). Christian On Wed, 4 Feb 2004, Arnav Sheth wrote:
Hi Uwe, 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. With regards, Arnav
*********************************************************************** Christian Hennig Fachbereich Mathematik-SPST/ZMS, Universitaet Hamburg hennig at math.uni-hamburg.de, http://www.math.uni-hamburg.de/home/hennig/ ####################################################################### ich empfehle www.boag-online.de