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 ...

The Wilcoxon rank-sum test is widely used to test the equality of two populations, because it makes fewer distributional assumptions than parametric procedures such as the t-test. However, the ...

Virtualization and clustering can be two faces of the same coin. Computing virtualization is a very hot topic for data center managers. Whether the motivation is higher utilization, reduced management ...

Digital Connexion, a Reliance-Brookfield-Digital Realty venture, will invest Rs 98,000 crore to build a 1 GW data-centre ...

Cloud-computing provider Vultr is building a 50-megawatt cluster of Advanced Micro Devices Inc. artificial intelligence processors at a data center in Ohio, a move aimed at offering AI infrastructure ...