id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_idtsy3ntjzbwzcdkb2lm4zacoy	Changyuan Wang	A Comparative Study of Face Recognition Classification Algorithms	2020	7	.pdf	application/pdf	2867	400	67	A Comparative Study of Face Recognition Classification accuracy of different classification algorithms in This paper uses the face data published by algorithm, extracts the main features of the data, and linear discrimination LDA, nearest neighbor algorithm KNN, support vector machine SVM and the integrated Keywords-Classification Algorithm; Machine Learning; learning, face recognition technology is widely used in classification algorithms in face recognition. set in this paper uses the ORL face data set published (KNN), support vector machine (SVM), Naïve Bayes samples, the reduction rate is obtained after processing training samples in the data set, and there are c the distance between ax and bx in the sample set. b) For the test sample x, use the distance d) SVM is a novel small sample learning method samples, this paper predict the value. results more generalized, 80% of the data set is used as improved PCA+LDA face recognition algorithm [J].	./cache/work_idtsy3ntjzbwzcdkb2lm4zacoy.pdf	./txt/work_idtsy3ntjzbwzcdkb2lm4zacoy.txt