Application in Grade Early Warning of PCA

DOI

10.2991/emcm-16.2017.161How to use a DOI?

Keywords

Early warning; Principal component analysis; Similarity; Clustering

Abstract

Students are misled by the traditional concepts after enrolling university, these make some students face many problems such as no goal of learning, no power, that causes students to face serious consequences that failed in courses and quit, bring serious influence to student management. In order to improve the management level of the school and help the students to get rid of the predicament, it is necessary to make an early warning. Calculate the similarity between the student and other students, and make sure the nearest neighbors based on similarity to estimate grade. Principal component analysis is an effective method to extract the main features, which is used in the process of grade warning. The method is applied to cluster students, and the result shows that it is feasible.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xueli Ren
AU  - Yubiao Dai
PY  - 2017/02
DA  - 2017/02
TI  - Application in Grade Early Warning of PCA
BT  - Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-16.2017.161
DO  - 10.2991/emcm-16.2017.161
ID  - Ren2017/02
ER  -