Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...

Spectral clustering is quite complex, but it can reveal patterns in data that aren't revealed by other clustering techniques. Data clustering is the process of grouping data items so that similar ...

Data clustering remains an essential component of unsupervised learning, enabling the exploration and interpretation of complex datasets. The field has witnessed considerable advancements that address ...

NASA Hubble data show stripped gas surrounding edge-on galaxy NGC 4388 in the Virgo cluster, revealing ionized plumes and structural details from black hole activity and cluster interactions.

Astronomers report that the Champagne Cluster is actually two galaxy clusters in the process of merging, based on X-ray, optical, and spectroscopic observations published in 2025 ...

Celebrate the New Year with the "Champagne Cluster," a galaxy cluster seen in this new image from NASA's Chandra X-ray ...

The Champagne Cluster holds special significance this time of the year because it was discovered on New Year's Eve in 2020.

The biggest feature in the SQL Server 2019 preview launched at Ignite is SQL Server Big Data clusters. Travis Wright, Microsoft's principal program manager for SQL Server, explains exactly what this ...

NASA’ s Chandra X-ray Observatory has provided a New Year’s gift with a stunning new image of the “Champagne Cluster,” ...