data imputation k-nearest neighbour data imputation k-nearest neighbour imputation is a data imputation which uses the k-nearest neighbour algorithm to compute a substitution value for the missing values. For every observation to be imputed, it identifies ‘k’ closest observations based on the euclidean distance and computes the weighted average (weighted based on distance) of these ‘k’ obs. kNN data imputation Philippe Rocca-Serra adapted from: http://r-statistics.co/Missing-Value-Treatment-With-R.html library(DMwR) knnOutput <- knnImputation(BostonHousing[, !names(BostonHousing) %in% "medv"]) # perform knn imputation. anyNA(knnOutput) from: http://r-statistics.co/Missing-Value-Treatment-With-R.html ready for release