
Feature selection using a genetic algorithm-based hybrid approach
Author(s) -
Luis Felipe Giraldo,
Edilson Delgado-Trejos,
Juan Carlos Riaño,
Germán Castellanos Domínguez
Publication year - 2006
Publication title -
ingeniería e investigación/ingeniería e investigación
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.204
H-Index - 12
eISSN - 2248-8723
pISSN - 0120-5609
DOI - 10.15446/ing.investig.v26n3.14759
Subject(s) - feature selection , relevance (law) , computer science , feature (linguistics) , genetic algorithm , decision tree , selection (genetic algorithm) , reduction (mathematics) , data mining , pattern recognition (psychology) , identification (biology) , dimension (graph theory) , artificial intelligence , sample (material) , set (abstract data type) , model selection , machine learning , mathematics , linguistics , philosophy , botany , geometry , chemistry , chromatography , biology , political science , pure mathematics , law , programming language