Definition
K-nearest neighbors (KNN) algorithm is used for classification and regression in supervised learning.
- It is a data similarity-based algorithm, as it assigns a class or value to an unknown point based on the K closest points in the training dataset.
References
- Used by (Maheshwari, Nayak, et al., 2024) to create an adaptive WAF (web application firewall)