Author(s)

Feng Han

Affiliation(s)

Teachers' College of Beijing Union University, Beijing, 100011, China

Corresponding Author

Feng Han

ABSTRACT

In this paper, k-means clustering algorithm is applied to the analysis and research of students' final examination of advanced mathematics, and students' scores of different types of questions are taken as indicators for clustering. We should carry out stratified teaching for different types of students and properly group cooperative learning, so as to better grasp the learning situation of students. 

KEYWORDS

Civil Administration; Fuzzy Computing; Grey Relational Analysis (GRA); Analytic Hierarchy  Process (AHP).

CITE THIS PAPER

Han Feng. Analysis of the exam situation based on clustering algorithm normal college of beijing union university. Eurasia Journal of Science and Technology. 2019, 1(1): 18-19.

REFERENCES

[1]. Hao Linqing. Research on the evaluation system of  classroom teaching quality in colleges and  universities [D]. China University of geosciences  (Beijing), 2017. 

[2]. He Yulin, Hua Zhexue. Journal of shenzhen  university (science and technology edition), 2019, 36(01):4-17. (In Chinese). 

[3]. Zhu Jianyu. Research and application of k-means  algorithm [D]. Dalian university of technology, 2013