A Study of Implementing Artificial Neural Networks and Cluster Analysis to Distinguish Fatigue Type and Level in Graduate Students.
Chen-Yuan HuangFang-Jung ChangYi-Chieh LinCheng-Chih HuangChwen-Tzeng SuPublished in: ICMHI (2017)
Keyphrases
- cluster analysis
- graduate students
- artificial neural networks
- undergraduate students
- correlation analysis
- categorical data
- factor analysis
- data mining techniques
- artificial intelligence
- clustering algorithm
- fuzzy c means
- researchers and practitioners
- educational technology
- cluster validity
- hierarchical latent class models