Data clustering, or cluster analysis, is the process of grouping data items so that similar items belong to the same group/cluster. There are many clustering techniques. In this article I'll explain ...

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 ...

Trajectory data compression and simplification techniques have emerged as essential tools for managing the ever‐increasing volumes of spatio‐temporal data generated by GPS devices and other ...

for video podcasters, online educators, or other video enthusiasts who want to distribute content online with fast turnaround. “We see this new version of the Pooch QuickTime Exporter as an example of ...

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 ...

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 ...

ADCs and DACs are generating a flood of sampled data that are creating high-speed bottlenecks on busses and in networks. Part 1 of this article described the use of compression algorithms that take ...

Everybody is talking about keyword clusters. At the core, it’s pretty simple – group related keywords together. Sounds easy, right? Some free tools walk you through some basic Natural Language ...