Abstract: Cluster analysis is a fundamental method for studying big data problems, as it groups samples based on shared features. In cluster analysis, a particular class of big data problems is ...

The Jharkhand Academic Council, Ranchi (JAC) has released the JAC Class 9 Result 2026 today, April 17, 2026. Candidates who appeared for the exams will need to visit the official website to check and ...

Codex can now use your macOS apps on its own. Codex will now be able to operate desktop apps on your computer, OpenAI says in a blog post announcing the update. It can work in the background, meaning ...

Matlab Software is a comprehensive platform created for scientific computing, algorithm development, and high-level data visualization. This project demonstrates how Matlab Software can be used as a ...

Mark Karpelès thought he had a reasonable ask. The former CEO of defunct exchange MtGox, operating under his GitHub handle MagicalTux, submitted a pull request to Bitcoin Core over the weekend ...

A new Nintendo Direct: Partner Showcase aired this morning, and we got a smattering of both new reveals and familiar games finding their way onto the Switch ecosystem. We're rolling into the second ...

Jan 10 (Reuters) - Elon Musk said on Saturday that social media platform X will open to the public its new algorithm, including all code for organic and advertising post recommendations, in seven days ...

Multiple CVEs in the Chaos-Mesh platform have been discovered, including three critical vulnerabilities that allow in-cluster attackers to run arbitrary code on any pod, even in the default ...

Do you remember the early days of social media? The promise of connection, of democratic empowerment, of barriers crumbling and gates opening? In those heady days, the co-founder of Twitter said that ...

Written for you by our author Tejasri Gururaj, edited by Gaby Clark, and fact-checked and reviewed by Robert Egan —this article is the result of careful human work. We rely on readers like you to keep ...

Abstract: Clustering analysis has been widely applied in various fields, and boundary detection based clustering algorithms have shown effective performance. In this work, we propose a clustering ...