A New Student Achievement Evaluation Method Based on k-means Clustering Algorithm

DOI

10.2991/ermm-15.2015.46How to use a DOI?

Keywords

clustering, achievement evaluation, teaching management, k-means

Abstract

This article puts forward an improved k-means clustering algorithm for the student achievement evaluation. Through the empirical analysis, we can explore the importance of evaluating the student achievement of the inner information hidden in the student score data, which can make up the drawbacks of the traditional methods.

Copyright

© 2015, 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  - Sumei Xi
PY  - 2015/04
DA  - 2015/04
TI  - A New Student Achievement Evaluation Method Based on k-means Clustering Algorithm
BT  - Proceedings of the 2015 International Conference on Education Reform and Modern Management
PB  - Atlantis Press
SP  - 175
EP  - 178
SN  - 2352-5398
UR  - https://doi.org/10.2991/ermm-15.2015.46
DO  - 10.2991/ermm-15.2015.46
ID  - Xi2015/04
ER  -