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dc.contributor.advisorEstradé Albiol, Sònia-
dc.contributor.advisorPérez Canals, Enric-
dc.contributor.authorLlop Torrent, Neus-
dc.descriptionTreballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2019, Tutors: Sònia Estradé Albiol, Enric Pérez
dc.descriptionI 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.-
dc.description.abstractThe 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 professorsca
dc.format.extent5 p.-
dc.rightscc-by-nc-nd (c) Llop, 2019-
dc.subject.classificationEstudis de gènerecat
dc.subject.classificationFormació de patrons (Física)cat
dc.subject.classificationTreballs de fi de grau-
dc.subject.otherGender studieseng
dc.subject.otherPattern formation (Physical sciences)eng
dc.subject.otherBachelor's theses-
dc.titleThe K-modes algorithm applied to Gender Analysiseng
Appears in Collections:Treballs Finals de Grau (TFG) - Física
Premi Clara Campoamor al millor Treball Final de Grau amb perspectiva de gènere

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