Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A single type of machine learning algorithm can be used to identify fake ...

Clustering algorithms, a fundamental subset of unsupervised learning techniques, strive to partition complex datasets into groups of similar elements without prior labels. These methods are pivotal in ...

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

We study parallelization of categorical data clustering algorithms in an MPI platform. Clustering such data has been a daunting task even for sequential algorithms, mainly due to the challenges in ...

Astronomers have discovered a new, previously unnoticed concentration of icy bodies in the Kuiper Belt, dubbed the 'inner ...

Background: The provision of nutritional support for patients in intensive care units (ICUs) varies widely both within and between institutions. We tested the hypothesis that evidence-based algorithms ...