Research on Integration of Innovation and Entrepreneurship Education Resources Based on Clustering Algorithm

Abstract

The integration of innovation and entrepreneurship education resources has become a crucial focus for academic institutions aiming to foster a culture of innovation and entrepreneurial spirit among students. This paper investigates the use of clustering algorithms to effectively integrate these educational resources. By leveraging data mining techniques and clustering algorithms, educational institutions can identify patterns and relationships within educational resources, facilitating better resource allocation and personalized learning paths. This study reviews existing literature, discusses the methodology of applying clustering algorithms, presents case studies, and examines the implications and future directions of this approach.