Abstract: The graph-information-based fuzzy clustering has shown promising results in various datasets. However, its performance is hindered when dealing with high-dimensional data due to challenges ...

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

Abstract: The k-means clustering algorithm is a method that is frequently utilized for the purpose of grouping data points considering their similarity. Within the scope of this research, we ...

If you've been eyeing YouTube TV – or already subscribe – you may want to remain patient because in early 2026, the video streaming service will be unveiling some new consumer-friendly packages, ...

If you peer deep enough into space, you can see new star clusters being formed. If you want to see a new industry cluster being formed, all you have to do is look here in Virginia. While some of us ...