Cluster-aware imputation: a hybrid XGBoost-based model for missing data
The fast growth of high-dimensional datasets in computational biology, industrial IoT, and socio-economic research has made the issue of missing data more challenging. This common problem reduces statistical power and introduces systematic bias in later machine learning tasks. Traditional methods, such as listwise dele...