Research Article
Analysis of Students' Academic Achievements Based on Cluster Analysis
@INPROCEEDINGS{10.4108/eai.2-12-2022.2327925, author={Yuncheng Li and Xiao Chen}, title={Analysis of Students' Academic Achievements Based on Cluster Analysis}, proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={ICICA}, year={2023}, month={3}, keywords={cluster analysis; correlation coefficient; matlab; score analysis}, doi={10.4108/eai.2-12-2022.2327925} }- Yuncheng Li
Xiao Chen
Year: 2023
Analysis of Students' Academic Achievements Based on Cluster Analysis
ICICA
EAI
DOI: 10.4108/eai.2-12-2022.2327925
Abstract
Cluster analysis is a multivariate statistical analysis method for quantitative classification of multiple samples. In this paper, we use cluster analysis to analyze the correlation of six students' six hundred mark system different course scores, get the relevant courses, and divide the courses with greater similarity into one category. The new course scores after classification are used for cluster analysis, the shortest distance method is used to calculate the shortest distance between two pairs of students in each course, the students' scores are classified, and a classification chart is drawn to obtain the comprehensive ranking of six students' scores.
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