Application of K-means Method Based on SPSS in Graphic Design Score Analysis

DOI

10.2991/978-94-6463-064-0_48How to use a DOI?

Keywords

α Reliability Coefficient; K-means; SPSS

Abstract

Usually the method of personnel training examination cannot fully verify the effect of teaching reform. Therefore, SPAA statistical software was used for α reliability coefficient analysis and K-means cluster analysis. In this paper, K-means algorithm is used to analyze and classify students’ graphic design scores, discover the distribution characteristics of students’ scores, understand the effect of “hybrid + ideological and political” teaching reform, provide a basis for teaching reform and improvement, and accurate reform of teaching models and methods.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jing Luo
PY  - 2022
DA  - 2022/12/27
TI  - Application of K-means Method Based on SPSS in Graphic Design Score Analysis
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 453
EP  - 459
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_48
DO  - 10.2991/978-94-6463-064-0_48
ID  - Luo2022
ER  -