The rapid emergence of high-dimensional data in various areas has brought new challenges to current ensemble clustering research. To deal with the curse of dimensionality, recently considerable ...

The purpose of data clustering algorithm is to form clusters (groups) of data points such that there is high intra-cluster and low inter-cluster similarity. There are different types of clustering ...

First devised by Zoltan Takats, a chemist and professor at Imperial College London, the technology consists of a needle-like ...

This expansion reflects Toronto’s robust tech ecosystem, bolstered by investments from major tech companies and a strong pipeline of tech talent from local universities. The city’s emphasis on ...

In the fast-paced field of High Performance Computing (HPC), the convergence of Artificial Intelligence (AI) and Big Data Analysis signals a groundbreaking ...

Space is a very big place, and as such, it's full of mysteries that scientists can't explain. Some of this is simply because it's impossible to fully observe, thanks to its sheer size and the ...

PhoSim simulates the atmosphere, including air turbulence, as well as distortions from the shape of the telescope’s mirrors and the electrical properties of the sensors. The photons are propagated ...

Using the Very Large Array (VLA), astronomers have performed radio observations of a galaxy cluster Abell 2744, nicknamed ...

Hongwei Li’s team from China University of Geosciences published a research article titled “scSCC: A swapped contrastive ...

Common Data Set The Common Data Set (CDS) initiative is a collaborative effort among institutional researchers and guidebook publishers, as represented by the College Board, Peterson's, and U.S. News ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...