From: ted.dunning@gmail.com   
      
   On Jun 12, 4:41 pm, Sengly  wrote:   
   > I would like you to share with me your experience on how should I   
   > handle my data. I have 1000 objects and I have a list of pair   
   > similarity of them. I would like to know how to cluster them into   
   > different groups according to their similarity?   
   >   
   > I have browse through various methods such as hierarchy, k-means,   
   > scaling dimension, etc. I really like k-means method but the problem   
   > is that I don't have points (and their coordinates) in space but   
   > rather their similarity.   
      
   Take a look at spectral clustering.   
      
   See http://citeseer.ist.psu.edu/ng01spectral.html   
      
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