[R] predicting fuzzy cluster membership

[Luis Torgo]

Dear all,
I'm trying to obtain a fuzzy clustering with fanny from the cluster package, 
using a given set of data. That worked just fine.
I have another separate sample of data from the same problem. For each case in 
this new sample I would like to know their membership coefficients with 
respect to the clustering obtained with the first dataset. In effect I want 
to have a kind of prediction of the probability that each case in the new set 
belongs to each of the clusters formed with the first set of data. I do not 
want to add the second ssample to the first and build a new clustering 
because that would change the initial clustering.

I've looked in the help pages of the cluster package for some similar example 
with no success. I've also searched the R mailing list but didn't find any 
related question.

Is there any easy way of obtaining this matrix of cluster membership values 
for the new set of data?

Thank you in advance,
Luis

> R.version
         _                
platform i686-pc-linux-gnu
arch     i686             
os       linux-gnu        
system   i686, linux-gnu  
status                    
major    1                
minor    6.1              
year     2002             
month    11               
day      01               
language R      

-- 
Luis Torgo
    FEP/LIACC, University of Porto   Phone : (+351) 22 607 88 30
    Machine Learning Group           Fax   : (+351) 22 600 36 54
    R. Campo Alegre, 823             email : ltorgo at liacc.up.pt
    4150 PORTO   -  PORTUGAL         WWW   : http://www.liacc.up.pt/~ltorgo