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    STUDIA INFORMATICA - Issue no. 1 / 2005  
         
  Article:   A PROGRAMMING INTERFACE FOR NON-HIERACHICAL CLUSTERING.

Authors:  GABRIELA ŞERBAN. 		 
       
         
  Abstract:  Clustering is one of the important techniques in Data Mining. Clustering methods aim at grouping objects into clusters, so that the objects within a cluster are more similar to each other than objects in di®erent clus- ters. The similarity between two objects is defined by a distance function. Clustering techniques are used in a variety of domains like: Natural Language Processing, Databases, HealthCare. In this paper we present a new program- ming interface for non-hierarchical clustering. Using this interface, we can simply develop non-hierarchical clustering applications. Using the designed interface, we made an experiment for words clustering, using a Romanian corpus.  
         
     
         
         
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