The following publications are possibly variants of this publication:
- A novel update rule of HALS algorithm for nonnegative matrix factorization and Zangwill's global convergenceTakehiro Sano, Tsuyoshi Migita, Norikazu Takahashi. jgo, 84(3):755-781, 2022. [doi]
- Global convergence of modified multiplicative updates for nonnegative matrix factorizationNorikazu Takahashi, Ryota Hibi. coap, 57(2):417-440, 2014. [doi]
- A Modified Multiplicative Update Algorithm for Euclidean Distance-Based Nonnegative Matrix Factorization and Its Global ConvergenceRyota Hibi, Norikazu Takahashi. iconip 2011: 655-662 [doi]
- An Algorithm for Randomized Nonnegative Matrix Factorization and Its Global ConvergenceTakao Masuda, Tsuyoshi Migita, Norikazu Takahashi. ssci 2021: 1-7 [doi]
- Gauss-Seidel HALS Algorithm for Nonnegative Matrix Factorization with Sparseness and Smoothness ConstraintsTakumi Kimura, Norikazu Takahashi. ieicet, 100-A(12):2925-2935, 2017. [doi]
- A Distributed HALS Algorithm for Euclidean Distance-Based Nonnegative Matrix FactorizationYohei Domen, Tsuyoshi Migita, Norikazu Takahashi. ssci 2019: 1332-1337 [doi]
- A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorizationNorikazu Takahashi, Jiro Katayama, Masato Seki, Jun'ichi Takeuchi. coap, 71(1):221-250, 2018. [doi]