Centralized Analysis Algorithm of Multi-Dimensional Traditional Data for Smart New Computer Network Course Platform

This paper proposes a visual analysis method of parallel coordinate axis arrangement based on clustering. Hierarchical clustering algorithm is used to perform cluster analysis on multi-dimensional attributes of statistical data, and information entropy is used to measure the correlation between attributes based on clustering. A frequent sequence mining algorithm and cluster analysis method for smart classroom teachers’ teaching mode are proposed., Through the analysis and verification of teaching video cases, it is found that the cluster of excellent teachers obtained by cluster analysis for a specific subject has a strong consistency with the excellent teachers in actual teaching.