[R] clustering

[WeiWei Shi]

Hi,
thanks for reply. In fact, I tried both of them and I also tried the
other method and I found all of them gave me different boundaries (to
my real datasets). I am thinking about k-median but hoping to get more
suggestions from all of you in this forum.

Cheers,

Ed


On Thu, 27 Jan 2005 15:37:16 -0600, msck9 at mizzou.edu <msck9 at mizzou.edu> wrote:
> The cluster analysis should be able to handle that. I think if you
> know how many clusters you have, "kmeans" is ok, or the EM algorithm
> can also do that.
> On Thu, Jan 27, 2005 at 03:44:42PM -0500, WeiWei Shi wrote:
> > Hi,
> > I just get a question (sorry if it is a dumb one) and I "phase" my
> > question in the following R codes:
> >
> > group1<-rnorm(n=50, mean=0, sd=1)
> > group2<-rnorm(n=20, mean=1, sd=1.5)
> > group3<-c(group1,group2)
> >
> >
> > Now, if I am given a dataset from group3, what method (discriminant
> > analysis, clustering, maybe) is the best to cluster them by using R.
> > The known info includes: 2 clusters, normal distribution (but the
> > parameters are unknown).
> >
> > Thanks,
> >
> > Ed
> > 
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