A Teaching Model Combining Aesthetic Education and Action Education Based on Cluster Mining under the Background of Big Data

Aesthetic education is an important part of education. However, sports action teaching and aesthetic education are closely combined. This paper discusses the important role of aesthetic education in action teaching through the relationship between action education and aesthetic education. And put forward how to cultivate students’ ability of feeling beauty, understanding beauty, and expressing beauty through various aesthetic education means such as teachers’ aesthetic education ability, optimizing teaching process and beautifying teaching environment. Based on the research of aesthetic education and action education, this paper mainly uses data mining methods, such as statistical analysis and clustering, to further mine the patterns and events obtained before, so as to form a higher level of semantics. From the two directions of motion recognition algorithm and continuous motion segmentation, the feature classification method based on depth and joint data and the segmentation algorithm based on sliding window are studied to achieve the research purpose. In the experimental part, the algorithm is tested and analyzed based on the action data set, and the correctness and effectiveness of the algorithm are verified.