The adoption of scale space hierarchical cluster analysis algorithm in the classification of rock-climbing teaching evaluation system

Abstract

In order to construct the basic frame of the evaluation system of the training effect of rock climbing technique to carry out the teaching practice of rock climbing technique under the guidance of scientific theory, in this research, the teaching and training environment of rock climbing technology is analyzed using the cluster analysis method based on scale spatial hierarchy analysis. Firstly, the students’ physical qualities, physical knowledge, sports skills, and sports experience are selected as the first level evaluation index of rock-climbing technique teaching and training, and the index evaluation system is constructed. Then the proportional space is divided into regions. According to the similarity between samples, the distance between classified categories and the consistency within the same category are defined, and the calculation is carried out to simplify the calculation process. Finally, the effectiveness of the proposed algorithm in rock climbing teaching and training is verified by empirical analysis. The results show that the four first-level indicators selected have obvious positive effects on climbing techniques. During the climb, the subject needs to stretch as much as possible in order to make the ideal movement and climbing posture according to the climbing route. In addition, stretching plays a large part in warm-up and relaxation before and after climbing. The study has a good guiding significance for the development of climbing.