Effect of Nutrition Method on Physical Recovery and Improvement of Basketball Player Based on Fuzzy Clustering Algorithm

Abstract

Basketball belongs to the antagonism project, therefore it is necessary to apply effective nutrition methods to improve physical recovery and improvement of basketball player, the fuzzy clustering algorithm is applied in it. Firstly, the fuzzy clustering algorithm combining with Monte Carlo T inspection is studied. Secondly, the main affecting factors of physical ability of basketball player are discussed. Thirdly, the corresponding experiment is carried out, and results show that the fuzzy clustering algorithm can be applied in analyzing the effect of nutrition method on physical recovery and improvement of basketball player.