Paper title:

Classification of Classifiers in Supervised Learning Pattern Recognition

Published in: Issue 2, (Vol. 7) / 2013
Publishing date: 2013-10-28
Pages: 23-26
Author(s): PENTIUC Ştefan-Gheorghe, PURDILĂ Vasile
Abstract. In the numerical approach of pattern recognition, topological properties of the groups of similar patterns from pattern space play an important role in the correctness of decisions concerning the membership of a pattern to class. This work analyzes comparatively the performance of several types of classifiers and discusses a fuzzy heuristic method for learning a type 3 classifier.
Keywords: Classifiers, Fuzzy, Heuristic, Pattern Recognition

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