[R] clustering

[bogdan romocea]

Assuming you don't end up with too many clusters, you could take the
classification and use it as the target for a tree, random forest,
discriminant analysis or multinomial logistic regression. The random
forest may be the best option.


> -----Original Message-----
> From: alessandro carletti [mailto:alxmilton at yahoo.it]
> Sent: Friday, October 28, 2005 5:42 AM
> To: rHELP
> Subject: [R] clustering
>
>
> Hi everybody,
> I'm performing a cluster analysis (pkg "cluster") on a
> dataset which includes 15 variables: is there a way to
> know how much each variable weighs on the final
> clustering output?
> Thanks
>
> Alessandro
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide!
> http://www.R-project.org/posting-guide.html
>