Improvement Research on Higher Education Students Management based on Clustering Algorithms
Kai Shen, Xinyi Yuan
Journal of Data Processing, Vol. 14, No. 4, 2024.
DOI: https://doi.org/10.6025/jdp/2024/14/4/133-139
Link: https://www.dline.info/jdp/fulltext/v14n4/jdpv14n4_1.pdf
Abstract:
With the continuous development of technology, big data analysis techniques have
been widely applied in various fields. In traditional management approaches, administrators
rely on manual data analysis and processing, which not only lacks
efficiency but is also prone to errors. On the contrary, analysis methods based on
clustering algorithms can provide effective support for management tasks. In this
article, we will use the K-Means clustering algorithm to extract useful information,
thereby effectively improving the performance of college students on campus. We
carefully preprocess this information, remove redundant content, and then categorize
it, leading to a significant enhancement in college studentsâ€™ performance.