Tipus de document
Treball de fi de grauData de publicació
Llicència de publicació
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/185586
Extracting insights from the shape of EuroLeague data using statistics and topology
Títol de la revista
Autors
Director/Tutor
Contribució addicional
ISSN de la revista
Títol del volum
Resum
[en] Mapper is a tool for topological data analysis (TDA) which was designed in 2007 in order to study shape features of high-dimensional data sets, allowing to visualize them in a more comprehensive way.
Our work is mainly practical but it also provides a theoretical background that sustains the methods used and the results obtained. We combine statistical techniques with topological data analysis to discern the structure of our data. We performed a principal component analysis, computed persistent homology, and applied Mapper to the EuroLeague data from the 2019–2020 season without taking into account the playoff matches. Our goal was to determine the underlying distribution of types of players and compare our results with those of a previous study based on data from the NBA.
Descripció
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2021, Director: Carles Casacuberta i Josep Vives i Santa Eulàlia
Recurs relacionat
Matèries (anglès)
Citació
Col·leccions
Citació
RATERA GISPETS, Albert. Extracting insights from the shape of EuroLeague data using statistics and topology. [consulted: 4 of October of 2026]. Available at: https://hdl.handle.net/2445/185586