What Is K Nearest Neighbor In Machine Learning?

KNN Algorithm

The K Nearest Neighbor (KNN) algorithm is an uncomplicated, non-parametric machine learning technique employed for classification and regression tasks. Its underlying principle is that items with resemblance tend to be proximate to each other in a feature space. KNN operates by identifying the k-nearest neighbors to a specific query point, and subsequently inferring the class or value of the query point based on the classes or values of its neighboring points.