Title:
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Feature selection algorithms: a survey and experimental evaluation
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Author:
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Molina, Luis; Belanche Muñoz, Luis Antonio; Nebot Castells, M. Àngela
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. SOCO - Soft Computing |
Abstract:
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In view of the substantial number of existing feature selection
algorithms, the need arises to count on criteria that
enables to adequately decide which algorithm to use in certain
situations. This work reviews several fundamental algorithms found in the
literature and assesses their performance in a controlled
scenario. A scoring measure ranks the algorithms by
taking into account the amount of relevance, irrelevance
and redundance on sample data sets. This measure computes the
degree of matching between the output given by the algorithm and the known
optimal solution. Sample size effects are also studied. |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica -Feature selection algorithms |
Rights:
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Document type:
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Article - Published version Report |
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