Application Research of the K-Means Clustering Algorithm in the Construction of Ideological and Political Education Resource Database in Colleges and Universities Based on 5G

Abstract

With the advance in the social economy, people's life has undergone great changes, which brings additional enrichment to people's lives and also greatly enhances their productivity. The changes brought about by this technology also affect people's thinking. The ideological and political education in colleges and universities has also ushered in an opportunity for change. The goal of this paper is to investigate the implementation of the K-means clustering algorithm applied in a 5G-based intellectual and technical teaching database in high schools. The results of the demonstration indicate that 29 students in the laboratory group identified more with the work carried out by the school in administrative and practical teaching than the 16 students in the traditional control group, which met everyone's needs for growth. The superiority of the K-means agglomerative categorization algorithm used for the institution's educational resource base was verified.