Optimization of morphological data in numerical taxonomy analysis using genetic algorithms feature selection method

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dc.authorid0000-0003-0905-6783
dc.authorid0000-0003-1774-9889
dc.contributor.authorBakış, Yasin
dc.contributor.authorSezerman, Osman Uğur
dc.contributor.authorBabaç, Mehmet Tekin
dc.contributor.authorMeydan, Cem
dc.date.accessioned2024-09-25T19:42:51Z
dc.date.available2024-09-25T19:42:51Z
dc.date.issued2009
dc.departmentBAİBÜ, Fen Edebiyat Fakültesi, Biyoloji Bölümüen_US
dc.descriptionACM SIGEVOen_US
dc.description11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009 -- 8 July 2009 through 12 July 2009 -- Montreal, QC -- 78693en_US
dc.description.abstractStudies in Numerical Taxonomy are carried out by measuring characters as much as possible. The workload over scientists and labor to perform measurements will increase proportionally with the number of variables (or characters) to be used in the study. However, some part of the data may be irrelevant or sometimes meaningless. Here in this study, we introduce an algorithm to obtain a subset of data with minimum characters that can represent original data. Morphological characters were used in optimization of data by Genetic Algorithms Feature Selection method. The analyses were performed on an 18 character?11 taxa data matrix with standardized continuous characters. The analyses resulted in a minimum set of 2 characters, which means the original tree based on the complete data can also be constructed by those two characters. © 2009 Copyright is held by the author/owner(s).en_US
dc.identifier.doi10.1145/1570256.1570260
dc.identifier.endpage1970en_US
dc.identifier.isbn978-160558325-9
dc.identifier.scopus2-s2.0-85132978135en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1967en_US
dc.identifier.urihttps://doi.org/10.1145/1570256.1570260
dc.identifier.urihttps://hdl.handle.net/20.500.12491/12298
dc.identifier.volume2009-Januaryen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorBakış, Yasin
dc.institutionauthorid0000-0001-6144-9440
dc.language.isoenen_US
dc.publisherAssociation for Computing Machineryen_US
dc.relation.ispartofProceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzYK_20240925en_US
dc.subjectBiological Data Miningen_US
dc.subjectGenetic Algorithmsen_US
dc.subjectMorphological Dataen_US
dc.subjectOptimizationen_US
dc.subjectPhylogeneticsen_US
dc.titleOptimization of morphological data in numerical taxonomy analysis using genetic algorithms feature selection methoden_US
dc.typeConference Objecten_US

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