Interpretable nonconvex submodule clustering algorithm using ℓr-induced tensor nuclear norm and ℓ2,p column sparse norm with global convergence guarantees
Fig 5
ACC and NMI of the 2D-NLRSC method on ORL and Yale datasets: Dependence on parameters r,p,q and ((A),(E): ORL-r,p; (B),(F): Yale-r,p; (C),(G): ORL-
; (D),(H): Yale-
).