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Feature selection algorithms: a survey and experimental evaluation

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Molina, Luis
Belanche Muñoz, Luis AntonioMés informacióMés informacióMés informació
Nebot Castells, M. ÀngelaMés informacióMés informacióMés informació
Document typeResearch report
Defense date2003-02
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
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.
CitationMolina, L., Belanche, Ll., Nebot, M. "Feature selection algorithms: a survey and experimental evaluation". 2003. 
Is part ofLSI-02-62-R
URIhttp://hdl.handle.net/2117/97413
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  • SOCO - Soft Computing - Reports de recerca [55]
  • Departament de Ciències de la Computació - Reports de recerca [1.104]
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