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 ...

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 ...

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 ...

In this article we focus on clustering techniques recently proposed for high-dimensional data that incorporate variable selection and extend them to the modeling of data with a known substructure, ...

Websites crash for numerous reasons, but you can boil it down to one thing: Dependence. For us, dependence is a significant cause of tension and anxiety. Think about it: If you start craving something ...

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 ...

PlanetScale, the company behind the open-source Vitess database clustering system for MySQL that was first developed at YouTube, today announced that it has raised a $30 million Series B funding round ...

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 ...