to clustering based on semantic relevance, with the benefits explained. Not only do we know the benefits of deciphering search intent, but we also have a number of techniques at our disposal for ...

The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’s the lack of any data at ...

Explore the strange and captivating world of ‘The Cluster’, a speculative biology concept featuring a collective lifeform ...

Researchers at Oak Ridge National Laboratory have developed a tool that gives builders a quick way to measure, correct and ...

Acoustic oscillations in M67 stars reveal a surprising plateau in frequency patterns, providing a new tool to probe stellar interiors and refine age estimates ...

Eye-Tracking, Machine Learning, Distance Learning, Online Learning, E-Learning, Bibliometric Analysis Share and Cite: Ayan, E ...

Nikhilesh De is CoinDesk's managing editor for global policy and regulation, covering regulators, lawmakers and institutions. He owns < $50 in BTC and < $20 in ETH. He won a Gerald Loeb award in ...

Unfortunately, traditional clustering methods cannot impose constrains on cluster sizes. In this paper, we propose some vital modifications to the standard k-means algorithm such that it can ...