Meaning of KNN algorithm

Simple definition

KNN, or K-Nearest Neighbors, is a machine learning algorithm that classifies data points based on the “nearest” data points it is surrounded by. It uses similarity in data points to make predictions or classify information.

How to use KNN algorithm in a professional context

In data management, KNN is commonly used to identify patterns, make recommendations, or classify data, especially in marketing for customer segmentation or in web applications for recommending similar products.

Concrete example of KNN algorithm

In a music app, KNN could suggest new songs based on what other users with similar tastes have liked. If you often listen to jazz, the algorithm recommends songs liked by other jazz listeners.