Post by Diego A. Bonilla

#NewArticle (IF: 1.11 | Scopus indexed: CiteScore 2.1) We identified two significantly different phenotypes representing lighter, shorter, leaner, more biomechanically efficient, and in late-maturing (Cluster 1) versus taller, heavier, more robust, less biomechanically efficient, and average matured (Cluster 2) young athletes. The matching analysis of the clusters revealed that maturity explained most of the variance in the data. Javier O. Peralta-Alzate (Colombia) Jhonny A. Bonilla-Henao (Colombia) Wilson Urrutia-Mosquera (Colombia) Roberto Cannataro (Italy) Jana Koci, Ph.D. (Czech Republic) Jorge Luis Petro (Colombia) Bonilla DA, Peralta-Alzate JO, Bonilla-Henao JA, Urrutia-Mosquera W, Cannataro R, Kočí J & Petro JL. (2022). Unsupervised machine learning analysis of the anthropometric characteristics and maturity status of young Colombian athletes. Journal of Physical Education and Sport 22(1):256-265. DOI:10.7752/jpes.2022.01033 Open access ⬇️⬇️⬇️⬇️ Dynamical Business & Science Society https://lnkd.in/gz7BEB95