K-Nearest Neighbors Imputation is a method used to fill in missing data by identifying the 'k' most similar data points (neighbors) and averaging their values. This technique is particularly useful when the data is assumed to have a similar distribution or pattern, as it leverages the local structure of the data to make informed imputations.