Ensembles of wrappers for automated feature selection in fish age classification
Visualitza/Obre
10.1016/j.compag.2017.01.007
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/100219
Tipus de documentArticle
Data publicació2017-01-20
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
In feature selection, the most important features must be chosen so as to decrease the number thereof while retaining their discriminatory information. Within this context, a novel feature selection method based on an ensemble of wrappers is proposed and applied for automatically select features in fish age classification. The effectiveness of this procedure using an Atlantic cod database has been tested for different powerful statistical learning classifiers. The subsets based on few features selected, e.g. otolith weight and fish weight, are particularly noticeable given current biological findings and practices in fishery research and the classification results obtained with them outperforms those of previous studies in which a manual feature selection was performed.
CitacióBermejo, S. Ensembles of wrappers for automated feature selection in fish age classification. "Computers and electronics in agriculture", 20 Gener 2017, vol. 134, p. 27-32.
ISSN0168-1699
Versió de l'editorhttp://www.sciencedirect.com/science/article/pii/S0168169916301430
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COMPAG+13+Jan+07+(d)-accepted+version(1).pdf | 554,4Kb | Visualitza/Obre |