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

Image tampering detection using dynamic histogram equalization based LIOP features and novel scaled K-means + + clustering

Digital images are one of the most regularly used means of storing personal memories and legal proofs. Content modification of digital images is becoming more and more common due to highly advanced ...
Nature

Hyperspectral imaging and K-means clustering for material structure classification and detection of unmanned aerial vehicles

Unmanned aerial vehicles (UAVs) have become increasingly widespread in a variety of industries due to their versatility and efficiency in applications such as agriculture, surveillance, logistics, and ...