Automatic Model-Order Selection for Nonnegative Matrix Factorization via Column $\ell_{2,0}$ Regularization
The critical points and local minimizers of the model are characterized, a sufficient-condition result for rank recovery is provided, and whole-sequence convergence of the proposed algorithms under explicit step-size and inertial-parameter conditions are proved using the Kurdyka--\L{}ojasiewicz framework.