Somewhere in the inner solar system, an asteroid nobody has ever seen through a telescope is falling apart, scattering a trail of rocky debris across Earth’s annual path around the Sun. Every year, ...

Abstract: Large-scale data clustering is an essential key for big data problem. However, no current existing approach is “optimal” for big data due to high complexity, which remains it a great ...

1 S.P. Jain School of Global Management, Dubai, UAE. 2 S.P. Jain School of Global Management, Singapore. 3 S.P. Jain School of Global Management, Mumbai, India. Spares management is of great ...

Abstract: Clustering image pixels is an important image segmentation technique. While a large amount of clustering algorithms have been published and some of them generate impressive clustering ...

ChatGPT has gone viral since OpenAI released the text-based artificial intelligence tool last month. It's the latest development in the world of generative AI, which has attracted billions of dollars ...

BIRCH is an alternative to MinibatchKMeans and is designed for large datasets. The algorithm converts data into a tree structure, facilitating efficient clustering. BIRCH allows for initial clustering ...

Based on an August 2020 report by Interpol, more people have been spending time online since the start of the coronavirus pandemic, which has resulted in increased cybercrime. UK Finance also claimed ...