TEORÍA Y APLICACIONES DEL CLASIFICADOR ASOCIATIVO GAMMA

Abstract

In the current document of thesis, the theoretical concepts which make up the basis of the Gamma classifier are presented. The Gamma classifier is a member of the associative approach to pattern recognition and was introduced by the author in his Master thesis. Several applications of this classifier to different fields of human knowledge are included too. The characterization of the classifier operation is also presented. This allows the identification of sufficient conditions for correct classification of the whole fundamental set. An experimental study of the proposed classifier performance is presented. In this study, the performance of the Gamma classifier is compared to that exhibited by other classifiers, while working with different data bases of public domain