Estradé Albiol, SòniaPérez Canals, EnricLlop Torrent, Neus2019-10-022019-10-022019-06https://hdl.handle.net/2445/141500Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2019, Tutors: Sònia Estradé Albiol, Enric Pérez Canals.I Premi al millor Treball Final de Grau amb perspectiva de gènere de la Universitat de Barcelona - Clara Campoamor - Curs: 2018-2019. Accèssit a la branca de Ciències experimentals i Enginyeria.The aim of the project is to find an objective tool to analyze relevant data on gender studies. Over the total proven methods, K-modes has been chosen as the most suitable tool for the analysis due to the categorical nature of the variables in the data-set. The algorithm implementation produces sub-groupings of the samples depending on the dis/similarities between them. The input data were obtained from a survey answered by Spanish physics professors5 p.application/pdfengcc-by-nc-nd (c) Llop, 2019http://creativecommons.org/licenses/by-nc-nd/3.0/es/Estudis de gènereFormació de patrons (Física)AlgorismesTreballs de fi de grauGender studiesPattern formation (Physical sciences)AlgorithmsBachelor's thesesThe K-modes algorithm applied to Gender Analysisinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/openAccess