KNNImputer

The idea in kNN methods is to identify'k' samples in the dataset that are similar or close in the space. Then we use these'k' samples to estimate the value of the missing data points. Each sample's missing values are imputed using the mean value of the'k'-neighbors found in the dataset. Let's look at an example to understand this. Consider a pair of observations in a two-dimensional space (2,0), (2,2), (3,3).