The k-NN imputation method is a technique used to estimate and replace missing data with plausible values. This approach involves identifying the 'k' closest data points (neighbors) to the data point with missing values, based on a chosen distance metric such as Euclidean distance. The missing values are then imputed using the mean or median of these neighbors' corresponding feature values.
