Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variable under consideration. Multivariate analysis techniques may be used for several ...

Cluster analysis can aid in identifying subgroups of patients with similar patterns of comorbid conditions for targeted care management. We identified a cohort of adult members of an integrated health ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on technique for visualizing and clustering data. A self-organizing map (SOM) is a data structure that can be used ...

Applying AI know-how to the giant pool of data gathered from the world’s leading and most powerful scientific instruments could accelerate the process of scientific discovery. Powerful ...

This is a preview. Log in through your library . Abstract Care must be exercised when hierarchical methods of cluster analysis are used. Dendrograms may not be unique, and certain methods are prone to ...

A botnet is a network of computers on the Internet, each of which has been compromised and is under the influence of a coordinated group of malware instances. Bots on this network run without the ...

Mesos is an open source project that helps developers manage server clusters more efficiently while providing resource isolation. It’s currently being used by the likes of Twitter and Airbnb, where ...

The concept of “smart cities” seems like a contemporary urbanism trend. But as early as the 1960s, cities were using technology to gather, interpret, and visualize civic data. Here’s how a 1974 report ...