Tensor-based Graph Learning with Consistency and Specificity for Multi-view Clustering

arXiv:2403.18393v1 Announce Type: new
Abstract: Graph learning is widely recognized as a crucial technique in multi-view clustering. Existing graph learning methods typically involve constructing an adaptive neighbor graph based on probabilistic neighbors and then learning a consensus graph to for clustering, however, they are confronted with two limitations. Firstly, they often rely on Euclidean distance to measure similarity when constructing the adaptive neighbor graph, which proves inadequate in capturing the intrinsic structure among data points in many real-world scenarios. Secondly, …

arxiv clustering cs.lg graph graph learning specificity tensor type view