Iskalni niz:
išči po
išči po
išči po
išči po
Vrsta gradiva:
Jezik:
Št. zadetkov: 1
Applying principal component analysis to identify underlying factors of key performance indicators from microsensor data in basketball games
Filip Ujaković, Žiga Kozinc, Jernej Pleša, Nejc Šarabon
Izvirni znanstveni članek
Oznake: basketball;measurement;loading;
The present study applied Principal Component Analysis (PCA) to complex microsensor data from 28 elite professional male basketball players across 122 games (1205 player/game samples) during two basketball seasons to reduce data dimensionality and identify underlying factors related to player load a ...
Leto: 2026 Vir: Fakulteta za vede o zdravju (UP FVZ)
Št. zadetkov: 1
Ključne besede:
Leto izdaje:
Avtorji:
Repozitorij:
Tipologija:
Jezik: