Principal component clustering approach to teaching quality discriminant analysis

Sidong Xian, Haibo Xia, Yubo Yin, Zhansheng Zhai, Yan Shang, John Lee
2016 Cogent Education  
Teaching quality is the lifeline of the higher education. Many universities have made some effective achievement about evaluating the teaching quality. In this paper, we establish the Students' evaluation of teaching (SET) discriminant analysis model and algorithm based on principal component clustering analysis. Additionally, we classify the SET by clustering the result of extracting the indexes through the principal component analysis (PCA), then we also test the rationality of the rating
more » ... g Fisher's discriminant function. Finally, the model and algorithm are proved to be effective and objective according to the empirical analysis.
doi:10.1080/2331186x.2016.1194553 fatcat:kk57blyo2rcfndkrktd5lykrau