R help - Oct 2007 - Clustering techniques using R

Now that I've loaded a file into an R data.frame  and played with
linear regression until I got a good model, my next step is clustering
using the coefficients of the regression model (I have many files)
Thanks to some R experts'  guidelines I could find plenty of
documentation on regression analysis in the "contributed" section.
Some touch on the concepts of the underlying theory and then show some
worked out examples (extremely useful).
I found nothing so nicely explained and laid out about cluster analysis with R.
I would appreciate some suggestion about reading on techniques for
clustering using R. Some application examples are very welcome.
Thank you in advance for your help.

Best regards,
Maura E.



-- 
Maura E.M

On Mon, 1 Oct 2007, Maura E Monville wrote:
> Now that I've loaded a file into an R data.frame  and played with
> linear regression until I got a good model, my next step is clustering
> using the coefficients of the regression model (I have many files)
> Thanks to some R experts'  guidelines I could find plenty of
> documentation on regression analysis in the "contributed"
section.
> Some touch on the concepts of the underlying theory and then show some
> worked out examples (extremely useful).
> I found nothing so nicely explained and laid out about cluster analysis
with R.
> I would appreciate some suggestion about reading on techniques for
> clustering using R. Some application examples are very welcome.
Have you looked at MASS (the book, see the FAQ)?
Or the CRAN task views at

http://cran.r-project.org/src/contrib/Views/Cluster.html
http://cran.r-project.org/src/contrib/Views/Multivariate.html
(Clustering is 'unsupervied classification')?

There is a lot of information there.

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595