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, ...

With the rapid expansion of the Internet in the information age, individuals can effortlessly access a vast array of data on a daily basis. However, this phenomenon also gives rise to challenges such ...

To address the challenges of increasing electricity demand and diverse consumption behavior, this study explored an adaptive K-means clustering approach for segmenting 24-h load profiles from 627 ...