From: zevictor@eden.dei.uc.pt   
      
   Fuzzy clustering algorithms are frequently used to determine the structure   
   of fuzzy models (rules). Most of the fuzzy clustering algorithms make use of   
   a distance measure to partitioning the data and there is a concern to   
   guarantee more or less a uniform distribution of the cluster centres over   
   the data.   
   I wonder if this is the best strategy. I think it was Kosko who proved that   
   "optimal fuzzy rules cover extrema", so isn't here some contradiction?   
      
   JV   
      
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