APA (7th ed.) Citation

Carbonetto, P., Sarkar, A., Wang, Z., & Stephens, M. (2021). Non-negative matrix factorization algorithms generally improve topic model fits.

Chicago Style (17th ed.) Citation

Carbonetto, Peter, Abhishek Sarkar, Zihao Wang, and Matthew Stephens. Non-negative Matrix Factorization Algorithms Generally Improve Topic Model Fits. 2021.

MLA (9th ed.) Citation

Carbonetto, Peter, et al. Non-negative Matrix Factorization Algorithms Generally Improve Topic Model Fits. 2021.