Analyzing Differences between Online Learner Groups during the COVID-19 Pandemic through K-Prototype Clustering

Journals Menu

Follow SCIRP

ISSN Print: 2327-7211
ISSN Online: 2327-7203
www.scirp.org/journal/jdaip
E-mail: jdaip@scirp.org

"Analyzing Differences between Online Learner Groups during the COVID-19 Pandemic through K-Prototype Clustering"
written by Guanggong Ge, Quanlong Guan, Lusheng Wu, Weiqi Luo, Xingyu Zhu,
published by Journal of Data Analysis and Information Processing, Vol.10 No.1, 2022

has been cited by the following article(s):

[1]	Exploring High-Dimensional Outlier Detection: A Comprehensive Study on Methods and Applications Using PCA and k-NN Algorithm
	2024 21st International Multi …, 2024

[2]	University Students Behaviour Modelling Using the K‐Prototype Clustering Algorithm
	… Problems in Engineering, 2023

[3]	Mixed-type Variables Clustering for Learners' Behavior in Flipped Classroom Implementation
	Indonesian Journal of …, 2023

[1]	Exploring High-Dimensional Outlier Detection: A Comprehensive Study on Methods and Applications Using PCA and k-NN Algorithm 2024 21st International Multi-Conference on Systems, Signals & Devices (SSD), 2024 DOI:10.1109/SSD61670.2024.10548429

[2]	University Students Behaviour Modelling Using the K‐Prototype Clustering Algorithm Mathematical Problems in Engineering, 2023 DOI:10.1155/2023/5507814

[3]	University Students Behaviour Modelling Using the K-Prototype Clustering Algorithm Mathematical Problems in Engineering, 2023 DOI:10.1155/2023/5507814

Follow SCIRP