Fig. 1From: A Bregman-proximal point algorithm for robust non-negative matrix factorization with possible missing values and outliers - application to gene expression analysisEvolution of the error \(M-U^{(k)}V^{(k)^{t}}\phantom {\dot {i}\!}\) as k goes from 1 to 100 on a random exampleBack to article page