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dc.contributor.authorGarcía Tejedor, Álvaro José 
dc.contributor.authorNogales Moyano, Alberto 
dc.date.accessioned2023-02-27T13:02:42Z
dc.date.available2023-02-27T13:02:42Z
dc.date.issued2022
dc.identifier.issn2665-9638spa
dc.identifier.urihttps://hdl.handle.net/10641/3281
dc.description.abstractOrganizations have realized the importance of data analysis and its benefits. This in combination with Machine Learning algorithms has allowed us to solve problems more easily, making these processes less time-consuming. Neural networks are the Machine Learning technique that is recently obtaining very good best results. This paper describes an open-source Python library called GEMA developed to work with a type of neural network model called Self-Organizing-Maps. GEMA is freely available under GNU General Public License at GitHub (https://github.com/ufvceiec/GEMA). The library has been evaluated in different particular use cases obtaining accurate results.spa
dc.language.isoengspa
dc.publisherSoftware Impactsspa
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectMachine learningspa
dc.subjectNeural networksspa
dc.subjectSelf-organizing mapsspa
dc.titleAn open-source Python library for self-organizing-maps.spa
dc.typejournal articlespa
dc.type.hasVersionAMspa
dc.rights.accessRightsopen accessspa
dc.description.extent1080 KBspa
dc.identifier.doi10.1016/j.simpa.2022.100280spa
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S266596382200032Xspa


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