Data visualisation and computational methods have increasingly converged to address the challenges of interpreting complex, high‐dimensional datasets across diverse disciplines. By integrating ...

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 ...

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 ...

Seán I. O’Donoghue works for CSIRO and the Garvan Institute of Medical Research. James B. Procter's work on Jalview in the Barton Group at the University of Dundee is supported by funding from the ...

Imagine tapping into a raw data feed from a distributed network of IoT devices in a logistics center. The center is full of robots, employee work stations, and shipping and receiving docks. The data ...

Longhorn, a 256-node Dell visualization cluster, is designed for remote interactive visualization and data analysis. Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news ...

Big Data and the ever-growing access we have to more information is the driving force behind artificial intelligence and the wave of technological change sweeping across all industries. But all the ...

The Best Data Visualization Tools Business intelligence (BI) tools can help you parse numbers and data, but it's visualization that'll help you get others to understand your conclusions. We test top ...

Today Atipa Technologies announced the deployment of its Polaris High Performance Computing and Visualization (HPCV) platform at Northern Illinois University. The platform is a turnkey Intel Select ...