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 ...

Clustering data is the process of grouping items so that items in a group (cluster) are similar and items in different groups are dissimilar. After data has been clustered, the results can be analyzed ...

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

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 ...

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 Observatory captures a composite image of the Champagne Cluster, showing two merging galaxy clusters, hot gas distribution and dark matter structures.

NASA’s flagship X-ray observatory is starting the calendar with a flourish, unveiling a richly detailed view of a distant ...

Nanto city in western Japan plans to launch the country's third and largest data center cluster with a total power capacity of 3.1 GW.