Methods: Principal component analysis and clustering analysis were used to group participants based on their levels of engagement, and the data analysis focused on characteristics (eg, age, sex, and ...

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, ...

Add Yahoo as a preferred source to see more of our stories on Google. Officials continue to investigate a network outage that has impacted several service systems at Heywood Hospital and Athol ...

Abstract: Currently, a wide array of clustering algorithms have emerged, yet many approaches rely on K-means to detect clusters. However, K-means is highly sensitive to the selection of the initial ...

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 ...

Your pay slip tax codes may appear to be nothing more than a jumbled mix of letters and numbers, but they play a vital role in calculating how much tax is deducted from your earnings. If these codes ...

The IRS and U.S. Department of the Treasury finalized a Secure 2.0 rule for catch-up contributions for 401(k) and other plans, which apply to workers age 50 and older. Starting in 2027, catch-up ...

Worryingly, the skies look set to offer terrorists even more opportunities to wage their campaigns as drone technology especially becomes increasingly inexpensive and easy to acquire. In this episode, ...

Big tech companies, from Meta to Microsoft, are using AI to write and review code. At Meta’s LlamaCon conference this week, CEO Mark Zuckerberg indicated that AI will take over half of the company’s ...

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 algorithms to a ...