Nature

Enhancing classification accuracy in medical datasets using a hybrid distance and cluster refinement-based K-means clustering method

Machine learning methods, especially the K_Means clustering method, have demonstrated potential in analyzing medical data by facilitating pattern detection. However, the classic K_Means algorithm ...
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, ...
Nature

A hybrid intelligent optimization algorithm combining weighted K-means clustering and improved ABC for optimal deployment of prehospital emergency heliports

Prehospital emergency helicopters, with excellent maneuverability and response speed, have become the key equipment for improving the quality of emergency medical services. However, the scientific ...
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 ...