From: ali on
hi everyone
can we do clsutering with support vector machine in matlab
for example can we cluster İRİS data set into 3 clusters
if we do
how
pls help
thanks for attention
From: Bruno Luong on
"ali " <rebelfirst(a)gmail.com> wrote in message <hj6tom$84h$1(a)fred.mathworks.com>...
> hi everyone
> can we do clsutering with support vector machine in matlab
> for example can we cluster &#304;R&#304;S data set into 3 clusters
> if we do
> how
> pls help
> thanks for attention

No, SVM is a supervised classification training method, clustering is unsupervised.

Bruno
From: Sergio on
Are you referring to the built-in SVM classes implemented in the Bioinformatics toolbox ?

If so, you cannot. These classes can classify only into two classes...that's unfortunate.

"ali " <rebelfirst(a)gmail.com> wrote in message <hj6tom$84h$1(a)fred.mathworks.com>...
> hi everyone
> can we do clsutering with support vector machine in matlab
> for example can we cluster &#304;R&#304;S data set into 3 clusters
> if we do
> how
> pls help
> thanks for attention
From: Pekka Kumpulainen on
"Bruno Luong" <b.luong(a)fogale.findmycountry> wrote in message <hj6u3v$sn$1(a)fred.mathworks.com>...
> "ali " <rebelfirst(a)gmail.com> wrote in message <hj6tom$84h$1(a)fred.mathworks.com>...
> > hi everyone
> > can we do clsutering with support vector machine in matlab
> > for example can we cluster &#304;R&#304;S data set into 3 clusters
> > if we do
> > how
> > pls help
> > thanks for attention
>
> No, SVM is a supervised classification training method, clustering is unsupervised.
>
> Bruno

For SVM approach on clustering, see for example:
Support vector clustering,
A. Ben-Hur, D. Horn, H.T. Siegelmann and V. Vapnik
Journal of Machine Learning Research 2 (2001), 125&#8211;137.

They also have an example on clustering the IRIS data.
I don't know if there are MATLAB implementations available for svm clustering. You could check:
http://www.kernel-machines.org/software
From: ali on
how can &#305; found this iris data set example pls help me thanks for atention
sincrely