Missing data imputation is a critical process in data analysis, enabling researchers to infer plausible values for absent observations. Over recent decades, a variety of methods have emerged ...

A novel imputation method tailored for multi-view data has demonstrated competitive performance by applying dimension reduction techniques to mitigate computational challenges [1].