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An Experimental Features Selection Approach in a Multiclass Classifier
Ramon Reig-Bolaño, Pere Marti-Puig
137 - 140
10.3233/978-1-61499-320-9-137
Frontiers in Artificial Intelligence and Applications
Volume 256: Artificial Intelligence Research and Development
Abstract

This paper focuses on an experimental feature selection for the images of otoliths in order to validate their effectiveness in a multiclass classifier used to resolve an automatic otolith identification process. Otoliths are calcareus structures found in the inner ear of fishes and are used to identifie species, populations, age and can be used in other ecological studies. The most relevant result confirms the importance of high order EFD coefficients to discriminate close shape specimens or populations.

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