KNNImputer for Filling Missing Data in Data Preprocessing

K-Nearest Neighbors (KNN) Algorithm for Handling Missing Data

Photo by Casey Horner on Unsplash

The K-Nearest Neighbors (hereafter, KNN) is a supervised machine-learning algorithm that uses a k number of nearest (closest) neighbors to classify an instance into a relevant class.

Neighbors of an instance are found using the Euclidean distance. The Euclidean distance between two data points is calculated using the foll…