Funding
This research was supported by the National Natural Science Foundation of China (31900793), the Research Program Funds of the Collaborative Innovation Center of Assessment toward Basic Education Quality at Beijing Normal University (2019-06-023-BZPK01 and 2018-06-002-BZPK01), and the Philosophy Society of the Ministry of Education (11jhq001).
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Summary
Keywords
cognitive diagnostic assessment, spectral clustering, K-means, G-DINA model, classification accuracy
Citation
Guo L, Yang J and Song N (2021) Corrigendum: Spectral Clustering Algorithm for Cognitive Diagnostic Assessment. Front. Psychol. 12:706512. doi: 10.3389/fpsyg.2021.706512
Received
07 May 2021
Accepted
11 May 2021
Published
17 June 2021
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
12 - 2021
Updates
Copyright
© 2021 Guo, Yang and Song.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jing Yang yangj014@nenu.edu.cnNaiqing Song songnq@swu.edu.cn
This article was submitted to Quantitative Psychology and Measurement, a section of the journal Frontiers in Psychology
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.