Innovation of Entrepreneurship Education in Colleges and Universities Based on K-means Clustering Algorithm

Entrepreneurship education in universities is a hot topic in the current reform of higher education. In order to improve the quality and effectiveness of entrepreneurship education in universities, this article explores innovative approaches to entrepreneurship education in universities based on the K-means clustering algorithm. Firstly, the article analyzes the current situation of entrepreneurship education in universities. At present, the teaching mode of entrepreneurship education in universities mostly combines classroom teaching and practical teaching, but there are problems such as scattered curriculum and insufficient practical teaching. Proposed innovative ideas for entrepreneurship education in universities based on K-means clustering algorithm. This algorithm can cluster students based on different indicators such as entrepreneurial willingness, entrepreneurial background, and entrepreneurial ability, providing personalized entrepreneurial education plans for educators and students. This article proposes an innovative approach to entrepreneurship education in universities based on K-means clustering algorithm and explores its significance. This method can provide strong support for the optimization of entrepreneurship education in universities and make positive contributions to the cultivation of innovative and entrepreneurial talents.