A novel genetic programming based approach for classification problems

Authors:
L. P. Cordella;C. De Stefano;F. Fontanella;A. Marcelli
Affiliations:
Dipartimento di Informatica e Sistemistica, Università di Napoli Federico II, Napoli, Italy;Dipartimento di Automazione, Elettromagnetismo, Ingegneria dell'Informazione e Matematica Industriale, Università di Cassino, Cassino, (FR), Italy;Dipartimento di Informatica e Sistemistica, Università di Napoli Federico II, Napoli, Italy;Dipartimento di Ingegneria dell'Informazione e Ingegneria Elettrica, Università di Salerno, Fisciano, (SA), Italy
Venue:
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Year:
2005

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Abstract

A new genetic programming based approach to classification problems is proposed. Differently from other approaches, the number of prototypes in the classifier is not a priori fixed, but automatically found by the system. In fact, in many problems a single class may contain a variable number of subclasses. Hence, a single prototype, may be inadequate to represent all the members of the class. The devised approach has been tested on several problems and the results compared with those obtained by a different genetic programming based approach recently proposed in the literature.