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Articles by Hanane Benrachid
Total Records ( 1 ) for Hanane Benrachid
  Hanane Benrachid , Rkia Fajr and Abdelaziz Bouroumi
  Researchers propose a new algorithm for detecting homogeneous clusters within sets of unlabeled objects represented by numerical data of the form X = {x1, x2,..., xn} . By quickly exploring the available data using an inter-objects similarity measure plus an ambiguity measure of individual objects, this algorithm provides the number of clusters present in X, plus a set of optimized prototypes V = {v1, v2,..., vn} where each prototype characterizes one of the c detected clusters. The performance of the algorithm is illustrated by typical examples of simulation results obtained for different real test data.
 
 
 
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