Data clustering is the process of placing data items into groups so that items within a group are similar and items in different groups are dissimilar. The most common technique for clustering numeric ...

Data clustering is the process of placing data items into groups so that items within a group are similar and items in different groups are dissimilar. The most common technique for clustering numeric ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

The classification maximum likelihood approach is sufficiently general to encompass many current clustering algorithms, including those based on the sum of squares criterion and on the criterion of ...

If you limit your analysis of the cloud DW space just to the MS-AWS lobe, you'll miss some important breakthroughs in the market. For example, Microsoft distinguishes its Azure SQL Data Warehouse from ...

We introduce a novel statistical procedure for clustering categorical data based on Hamming distance (HD) vectors. The proposed method is conceptually simple and computationally straightforward, ...

SAN MATEO, Calif., Sept. 10, 2025 (GLOBE NEWSWIRE) -- SIOS Technology Corp ., a leading provider of application high ...

Database virtualization vendor Xkoto has its eye on enhancing cloud computing and cluster management for Microsoft SQL Server and IBM DB2. The company released GridScale 5.1, the latest version of its ...