Forthcoming events:
20/10/2026, Wenshuo Li, PhD student @ China University of Mining and Technology
Time&Location: 16:00 - Seminario II, Dipartimento di Matematica, Università di Bologna
Title: Scalable Multi-View Clustering: Graph Learning and Anchor Selection
Abstract: Multi-view clustering aims to integrate complementary information from multiple data sources to identify a shared clustering structure. This talk presents my recent research on scalable multi-view clustering, with a focus on consensus bipartite graph learning and anchor selection. I will introduce two clustering formulations and discuss the nonlinear matrix equations arising in their optimization. The current methods use linearized or surrogate updates to reduce computational cost, while directly solving the original nonlinear equations remains an open question. I will also discuss column subset selection as a numerical linear algebra problem motivated by the need to select representative anchors. The talk will highlight the connections between clustering models, matrix equation solvers, and matrix approximation, together with unresolved questions arising from this work.
Organizers: Davide Palitta, Valeria Simoncini