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RE: About Partitioning Categorical Data ...

Bill Shannon wrote

<<<
  There aree many approaches and hopefulyl you will hear from several people describing their favorite.
   I would suggest you look at recursive partitioning, also called tree models or CART. If you are familair with the R statistical software (freeware that can be downloaded from http://www.r-project.org/) there is an addon llibrary called rpart that can be used.
>>>>

Absolutely right, of course.
There is also a package called party, which has some nice features that rpart does not have.  I have found it very useful.

You can find more info at the author's website

http://www.imbe.med.uni-erlangen.de/~hothorn/

under #6 in the statistical software se


Peter L. Flom, PhD
Brainscope, Inc.
212 263 7863 (MTW)
212 845 4485 (Th)
917 488 7176 (F)




  
  
  Good luck
  Bill Shannon
  Washington University in St. Louis
 

Arnaud Trollé <[log in to unmask]> wrote:
  Hello,

I'd like to cluster categorical data (3 categories) by means of a partitioning
method; I'm quite a beginner in that field and I would need to be enlightened.
From a bibliographic review I carried out about that topic, it appeared to me
that a method is often used :the k-modes method. From her/his experience,
could anyone confirm or deny that it is the case ? If denied, which method
could be more "powerful" ?

Thanks in advance.

Best Regards.
Arnaud.
PhD Student in Acoustics.
Lyon, France.

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