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 ...

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 ...

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 ...

The Cloud Native Computing Foundation today announced that Vitess, a database clustering system it took under its wing two years ago, has graduated incubation, becoming the eighth open-source project ...

Redis is an open-source, in-memory database that offers plenty of features and more than enough performance to power your enterprise-level app or service. Recently, I wrote about deploying Redis on a ...

The developer of one of the world’s most high-profile, open-source databases, Sweden’s MySQL AB, this week launched MySQL Cluster, a new open-source database clustering technology for applications ...

Sybase Inc. is preparing to unveil an update to Adaptive Server Enterprise, its flagship relational database, that will use virtualization technology to let users run a single instance of ASE across a ...