id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-32396	Ye, Yubo	A comprehensive review of Principal Component Analysis	2025	4	.pdf	application/pdf	2167	134	48	Additionally, we will discuss contemporary developments like sparse PCA, kernel PCA, and robust PCA that tackle nonlinearity and sparsity by integrating trends like PCA's integration with deep learning, the variation in applied circumstances, and its use in high-dimensional data presentation. Singular value decomposition, outputting orthogonal matrices, performs among data centering in PCA method.	cache/ajst-32396.pdf	txt/ajst-32396.txt