Deep multi-view clustering leverages deep neural networks to achieve promising performance, but almost all existing methods implicitly assume that all views are aligned correctly. This assumption is ...

Background Critically ill patients are at increased risk of health care-associated infections due to various devices (central line-associated bloodstream infection, catheter-associated urinary tract ...

Abstract: Tensorizedmulti-view subspace clustering has attracted intensive attention to achieve promising clustering performance by effectively modeling both consistency and high-order correlation ...