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, ...

A new visa for science and engineering graduates is part of China’s effort to establish itself as the world leader in science and technology. By Vivian Wang Reporting from Beijing Just as President ...

This project implements the k-Means Clustering algorithm in Python for clustering datasets with arbitrary features and cluster counts. It includes two versions: k-Means for 2 features with k=2 ...

1 Department of Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China 2 University of Exeter Medical School, University of Exeter, Exeter, United ...

Before the 1975 release of Monty Python and the Holy Grail, the British comedy troupe Monty Python was barely known overseas. People in Britain knew the group, made up of Graham Chapman, John Cleese, ...

Abstract: The paper presents a detailed research study of the k-means clustering algorithm to be used for image compression tasks, where the RGB values of the colors are considered XYZ coordinates of ...

Objective: We aimed to explore the application value of unsupervised machine learning in identifying acute gastrointestinal injury (AGI) after extracorporeal circulation for acute type A aortic ...

ABSTRACT: The use of machine learning algorithms to identify characteristics in Distributed Denial of Service (DDoS) attacks has emerged as a powerful approach in cybersecurity. DDoS attacks, which ...

The use of machine learning algorithms to identify characteristics in Distributed Denial of Service (DDoS) attacks has emerged as a powerful approach in cybersecurity. DDoS attacks, which aim to ...

Abstract: Image compression plays a key role in contemporary digital environments given the escalating influx of visual data on the Internet. In this study, the K-means clustering algorithm is adopted ...