Early Monday action shows stocks striving to recover a fair chunk of Friday’s slide, which came after President Donald Trump reignited trade angst. A new social-media post from Trump saying that the ...

The U.S. Air Force is tearing up its old playbook to counter China’s growing threat. Gone are the days of massive bases - now, small, mobile “Units of Action” will strike from anywhere, anytime, ...

Recent interest rate cuts by the Federal Reserve are giving homebuyers new hope. NBC News’ Brian Cheung details what it means for potential sellers and buyers. Russia issues Afghanistan warning after ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

Abstract: This paper proposes an improved K-means clustering algorithm based on density-weighted Canopy to address the efficiency bottlenecks and clustering accuracy issues commonly encountered by ...

Tijjani Reijnders delivered a superb Premier League debut and Oscar Bobb offered a reminder of his great ability as Erling Haaland scored twice to help Manchester City sweep aside Wolverhampton ...

The $1 trillion battle for America’s back roads is heating up, with Amazon (AMZN) and Walmart (WMT) at the forefront. The two retail giants are aggressively expanding their e-commerce and delivery ...

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 ...

Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...

It's almost impossible not to attach a level of romanticism to the life of a trucker, as life on the road presents no shortage of sights that go largely unseen by the general public. But there are ...