Abstract:In this paper, a new method for solving classification problems based on prototypes is proposed. When using similarity relations for the granulation of the universe, similarity classes are generated and a prototypes is selected for each similarity class. Experimental results showing the performance of our method and comparing accuracy against other prototype selection methods reported.
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