[R] clustering methods in R

[Matthew Wiener]

Hi, Faheem.

I found the first book on your list very helpful.  In particular, for my
application divisive clustering seemed to be the best approach, and I
didn't find any other references to it that I remember offhand.  (Of
course, once I found that book I stopped looking very hard.)

Brian Ripley's book _Pattern Recognition & Neural Networks_ also has a
discussion of clustering, with lots of references.

Hope this helps,

Matt

On Tue, 21 Mar 2000, Faheem Mitha wrote:

> Dear R people,
> 
> I need to do some work with clustering, but know next to nothing about it
> at present. R has (at least) three clustering packages, cluster, mclust,
> cclust. 
> 
> I was wondering if someone can direct me to some good books where I could
> find documentation and background on the functions in these packages. The
> html help in these packages lists the following as references. Can people
> suggest any others? I will look for the books and articles below, of
> course, but I think I may have difficulty getting hold of the Kaufman
> book, at least.
> 
>                                  Sincerely, Faheem Mitha.
> 
> ****************************************************************************
> 
> (cluster)
> 
> Kaufman, L. and Rousseeuw, P.J. (1990). Finding Groups in Data: An
> Introduction to Cluster Analysis. Wiley, New York. 
> 
> Struyf, A., Hubert, M. and Rousseeuw, P.J. (1997). Integrating Robust
> Clustering Techniques in S-PLUS, Computational Statistics and Data
> Analysis, 26,
> 17-37.
> 
> (mclust)
> 
> D. Banfield and A. E. Raftery, Model-based Gaussian and non-Gaussian
> Clustering, Biometrics, 49:803-821 (September 1993). 
> 
> C. Fraley, Algorithms for Model-based Gaussian Hierarchical Clustering,
> Technical Report No. 311, Department of Statistics, University of
> Washington
> (October 1996), to appear in SIAM Journal on Scientific Computing. 
> 
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