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 ...
Nature

An investigation into epidemiological situations of COVID-19 with fuzzy K-means and K-prototype clustering methods

COVID-19, a disease caused by the novel coronavirus, was first reported in December 2019 in the city of Wuhan, located in Hubei Province in China. The virus quickly spread to other countries, with ...
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, ...
Visual Studio Magazine

K-Means Data Clustering from Scratch Using C#

K-means is comparatively simple and works well with large datasets, but it assumes clusters are circular/spherical in shape, so it can only find simple cluster geometries. Data clustering is the ...