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 ...
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 ...
The Cloud Native Computing Foundation today announced that Vitess, a database clustering system it took under its wing two years ago, has graduated incubation, becoming the eighth open-source project ...
eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...
An already-working open source database project could let other web companies join Google for bragging rights as the owners of a thousand-node database cluster. Moving the project from in-house to ...
LOS ANGELES--(BUSINESS WIRE)--Sept. 23, 2003--Metapa Inc., a leading provider of high-performance analytics infrastructure, today announced that it has acquired Didera Inc. of Fairfax, Virginia, a ...
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results