Nature

Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction

Disease risk prediction is a rising challenge in the medical domain. Researchers have widely used machine learning algorithms to solve this challenge. The k-nearest neighbour (KNN) algorithm is the ...
Nature

A hybrid interpretable deep structure based on adaptive neuro-fuzzy inference system, decision tree, and K-means for intrusion detection

The leading technologies increase the cyber risk for users and businesses. According to Cisco Annual Internet Report (2018–2023) White Paper 1, the threat of network intrusions continues to grow. This ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...