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    STUDIA INFORMATICA - Issue no. 2 / 2003  
         
  Article:   HIERARCHICAL CLUSTERING ALGORITHMS FOR REPETITIVE SIMILARITY VALUES.

Authors:  DANA AVRAM LUPŞA, GABRIELA ŞERBAN, DOINA TĂTAR.
 
       
         
  Abstract:  This paper presents a novel variant of the hierarchical clustering from [2]. We tried to solve the problem of repetitive similarity values that appears on distributional similarity values. Also we propose an algorithm to build a similarity tree as a taxonomy that respects the hierarchical clusters determined above.  
         
     
         
         
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