Censored Least Squares for Imputing Missing Values in PARAFAC Tensor Factorization
E. Hung, Enio Hodzic, Zhixin Cyrillus Tan, Aaron S. Meyer
This study compares censored least squares to other methods for imputing missing values in tensor factorization of biological datasets, finding censored least squares to be more accurate and efficient.
bioRxiv · Jul 5, 2024 · PreprintSystems Biology