Jernej Pleša

Applying principal component analysis to identify underlying factors of key performance indicators from microsensor data in basketball games

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 rela...