ARLINGTON, Texas -- Miami just made an example out of Ohio State by flipping a script that was almost 25 years in the making. The Buckeyes once used a bowl game against Miami to not only win a trophy ...

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, ...

Rachel Feltman: For Scientific American’s Science Quickly, I’m Rachel Feltman. TikTok’s algorithm, which shapes what more than a billion users see, has developed an almost mystical reputation for ...

Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...

Wall Street continues to break records while signs of stress mount for everyday Americans, underscoring the K-shaped nature of the U.S. economy—where the top climbs higher while the bottom stagnates ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Abstract: While many data scientists are working hard just to improve a very fractional amount of performance, we wonder if there are any difference in performance of clustering among the platform we ...

A law in effect for less than two weeks is already wreaking havoc all over the internet. The United Kingdom law—called the Online Safety Act—is purportedly about protecting children. The best I can ...

Issued on behalf of Avant Technologies Inc. Avant's broader diabetes push is now entering a critical phase. It has signaled intentions to launch a standalone company to develop a potential treatment ...

ABSTRACT: Heart disease continues to be a major global cause of death, making the development of reliable prediction models necessary to enable early detection and treatment. Using machine learning to ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...