On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

Pylontech has introduced its PyOcean series of liquid-cooled battery energy storage systems at SNEC 2026 in Shanghai, targeting grid-side storage, large C&I projects, and emerging AI data center ...

This python package implements k-medoids clustering with PAM and variants of clustering by direct optimization of the (Medoid) Silhouette. It can be used with arbitrary dissimilarites, as it requires ...

Abstract: Classical clustering methods such as k-means, spectral clustering, DBSCAN, and DPC often operate under specific assumptions about data characteristics. However, the increasing diversity and ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

Accurately predicting the arrangement of molecular building blocks in crystalline materials is expected to greatly advance the applications of these materials by allowing candidates to be designed and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We propose a scheme for the automatic separation (i.e., clustering) of data sets ...

1 Department of Communication Science and Engineering, Nelson Mandela Institution of Science and Technology, Arusha, Tanzania. 2 School for Information Sciences, Center for Information and Systems, ...

This repository presents the HiPart package, an open-source native python library that provides efficient and interpretable implementations of divisive hierarchical clustering algorithms. HiPart ...

Fiber clustering methods are typically used in brain research to study the organization of white matter bundles from large diffusion MRI tractography datasets. These methods enable exploratory bundle ...

Study objective We investigated two peer distribution models of HIV self-testing (HIVST) in HIV prevention demand creation compared with trained young community members (peer navigators). Results ...

Abstract: In this paper, we present a bottom-up clustering algorithm based on recursive collapsing of small cliques in a graph. The sizes of the small cliques are derived using random graph theory.