R help - Nov 2007 - Cluster Analysis:build a classifier?

Dear All,
I'm currently doing a project about unsupervised learning, and I'll be
using
R to analyse a few network traffic datasets downloaded off Andrew Moore's
website
(http://www.cl.cam.ac.uk/Research/SRG/netos/nprobe/data/papers/sigmetrics/index.html).

Could anyone shed some light on how to build a classifier from the training
set A, and then use a validation set B to assess the performance of the
classifier? I'm able to group these datasets into groups using hclust() and
kmeans() etc., but I don't see the connection between the clustered dataset
A and the remaining sets.

Any thoughts would be much appreciated!

Yours sincerely,
x_x
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x_x wrote:
> Dear All,
> I'm currently doing a project about unsupervised learning, and I'll
be using
> R to analyse a few network traffic datasets downloaded off Andrew
Moore's
> website
>
(http://www.cl.cam.ac.uk/Research/SRG/netos/nprobe/data/papers/sigmetrics/index.html).
> 
> Could anyone shed some light on how to build a classifier from the training
> set A, and then use a validation set B to assess the performance of the
> classifier? I'm able to group these datasets into groups using hclust()
and
> kmeans() etc., but I don't see the connection between the clustered
dataset
> A and the remaining sets.
> 
> Any thoughts would be much appreciated!
> 
> Yours sincerely,
> x_x
Dear x_x,

you are confusing unsupervised learning/clustering with supervised 
learning/classification, I fear. Please ask your teacher/supervisor for 
getting the terminology right. Please note that it is good practice to 
sign e-mail messages with your real name.

Best,
Uwe Ligges