Functional Data Analysis in Sport Science: Example of Swimmers’ Progression Curves Clustering
Functional Data Analysis in Sport Science: Example of Swimmers’ Progression Curves Clustering is a scholarly work, published in 2018 in ''Applied Sciences''. The main subjects of the publication include anomaly detection, functional principal component analysis, data mining, artificial intelligence, data set, functional data analysis, set, principal component analysis, machine learning, cluster analysis, computer science, and multivariate statistics. The article focuses on Functional Data Analysis (FDA), which study longitudinal data by modelling them as continuous functions.