One-Step Multi-View Clustering Based on Transition Probability

arXiv:2403.01460v1 Announce Type: new
Abstract: The large-scale multi-view clustering algorithms, based on the anchor graph, have shown promising performance and efficiency and have been extensively explored in recent years. Despite their successes, current methods lack interpretability in the clustering process and do not sufficiently consider the complementary information across different views. To address these shortcomings, we introduce the One-Step Multi-View Clustering Based on Transition Probability (OSMVC-TP). This method adopts a probabilistic approach, which leverages the anchor graph, representing the transition …

abstract algorithms anchor arxiv clustering cs.lg current efficiency graph information interpretability performance probability process scale transition type view