id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-20789	Li, Zihao; Chu, Wenjing	A Survey of Multiple Kernel Graph Clustering Algorithms	2024	4	.pdf	application/pdf	2732	125	33	This article mainly introduces four novel multi-kernel clustering algorithms, namely the nearest neighbor linear kernel weighted multi-kernel graph clustering algorithm, the multi-kernel graph clustering algorithm based on simultaneously preserving global and local structures, the multi-kernel graph clustering algorithm based on direct consensus relationship graph learning, and the multi-kernel graph tensor clustering algorithm customized for non- negative matrix factorization. 2.1. In terms of applications, the nearest neighbor linear kernel weighted multi-kernel graph clustering algorithm has been widely used in fields such as image recognition, text classification, and bioinformatics.	cache/ajst-20789.pdf	txt/ajst-20789.txt