K-nearest neighbors (KNN) classification algorithm

The k-nearest neighbors (KNN or K-NN) classification algorithm is a classification algorithm used in supervised machine learning that predicts a given input's classification based on its proximity to data points from the training dataset using a simple majority, with the k represents the number of data points to compare.

Broader Topics Related to K-Nearest Neighbors (KNN)

Classification Learning

A type of machine learning that classifies entities based on their characteristics