yes i know,
it is used for prediction because it is a supervised method of clustering,
so no comment
*don't* be nervous

David Meyer <david.meyer@ci.tuwien.ac.at> wrote:
On 2003.06.12 11:57, Ramzi Feghali wrote:
> No comment,

yes, please *do* comment!

The help page clearly says the implementation can carry out:

- classification,
- regression, and
- density estimation

*no* clustering.

David.

> 
> svm package:e1071 R Documentation
> Support Vector Machines
> Description:
> `svm' is used to train a support vector machine. It can be used
> to
> carry out general regression and classification (of nu and
> epsilon-type), as well as density-estimation. A formula interface
> is provided.
> 
> 
> David Meyer wrote:
> On 2003.06.12 09:15, Uwe Ligges wrote:
> > Iouri Tipenko wrote:
> >
> >> Dear R-Users,
> >> I'm a master student in Mathematics and Statistics at Carleton
> >> University, Ottawa, Canada.
> >> I'm studying Clustering methods including different related
> >> algorithms. One of them is Support Vector Clustering algorithm.
> >> I was wondering whether anybody implemented this algorithm and
> could
> >> help me with the S-Plus or R computer code that I could use in my
> >> simulations.
> >> I would really appreciate your help or any advise on where I can
> get
> >> this code.
> >
> > There is an implementation of Support Vector Machines in package
> > e1071, which is available on CRAN.
> 
> ...but it does not include Support Vector *clustering*.
> 
> David
> 
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