Abstract: Most clustering algorithms require setting one or more parameters, which rely on prior knowledge or are constantly adjusted based on external indicators. To address the issues of requiring ...

Finding a YouTube video that truly matches our interests can sometimes be a challenge. The video-sharing platform appears to have recognized this issue and is taking steps to address it with its new ...

Background Rapid triage of patients presenting with chest pain is essential for early diagnosis and safe disposition. The European Society of Cardiology (ESC) 0/1-hour hs-cTn algorithm has shown ...

The increasing complexity of Internet of Things and modern battlefield electromagnetic environments poses significant challenges to radiation source localization, especially under electronic ...

Is your feature request related to a problem? Please describe. The cluster graphical representations in resources page is currently a modal over the resources pages, w/o direct URL to get this modal ...

SoundCloud and Subtext have announced a new partnership that enables artists to build direct fan relationships and generate revenue through SMS messaging campaigns. The collaboration provides ...

Many modern clustering methods scale well to a large number of data items, N, but not to a large number of clusters, K. This paper introduces PERCH, a new non-greedy algorithm for online hierarchical ...

I’ve observed an unexpected result when comparing direct clustering using CD-HIT at 40% threshold versus hierarchical clustering down to 30%. Direct clustering (-c 0.4): I have directly used cd-hit to ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Amazon Elastic Kubernetes Service (EKS) is a managed Kubernetes service from AWS that allows ...

Abstract: The density peaks clustering (DPC) algorithm is a density-based clustering method that effectively identifies clusters with uniform densities. However, if the datasets have uneven density, ...