[R] cluster analysis
Aboubakar Maitournam
amaitour at pasteur.fr
Mon Nov 12 10:46:22 CET 2001
guolingwang guolingwang wrote:
> To be it concerned,
>
> I want to know how to use R to do cluster analysis and
> outcomes can include the computing time.
>
> Thanks a lot
>
> Guoling Wang
>
> __________________________________________________
>
> -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
> r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
> Send "info", "help", or "[un]subscribe"
> (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch
> _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
There are many librairies in R dedicated for clustering analysis as mva, mclust
(to load by cran),
cclust,(cran) and cluster(cran). Naturally you must first load the library under
R. Then you have
many choices which depend of what you want to do (ACP ? in order to reduce the
dimensions of your
data and if you "have chance" to see the classes, K-means if you know the number
of classes you want,
hierarchical clustering in order to obtain a tree or the more sure (robust) et
sophisticated stochastic techniques
as those contained in mclust).
You have for each of these packages examples.
Aboubakar Maitournam.
-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or "[un]subscribe"
(in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch
_._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
More information about the R-help
mailing list