Peng Tang∗, Yu Wang, Ning Shen
Computer Systems Science and Engineering, Vol.35, No.4, pp. 237-246, 2020, DOI:10.32604/csse.2020.35.237
Abstract In today’s modern society, the physical fitness of college students is gradually declining. In this paper, a prediction model for college students’ physical
fitness is established, in which support vector regression (SVR) and k-means clustering are combined together for the prediction of college students’ fitness.
Firstly, the physical measurement data of college students are classified according to gender and class characteristics. Then, the k-means clustering method
is used to classify the physical measurement data of college students. Next, the physical characteristics of college students are extracted by SVR to establish
the prediction model of physical More >
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