Print

Print


Hi
 
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.
 
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.

----------------------------------------------
CLASS-L list.
Instructions: http://www.classification-society.org/csna/lists.html#class-l

---------------------------------------------- CLASS-L list. Instructions: http://www.classification-society.org/csna/lists.html#class-l