# name
The K-modes algorithm applied to Gender Analysis

# metadata.dc.description[].value
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2019, Tutors: Sònia Estradé Albiol, Enric Pérez Canals.

# metadata.dc.description[].value
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.

# metadata.dc.description.abstract[].value
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 professors

# metadata.dc.title[].value
The K-modes algorithm applied to Gender Analysis