Abstract: Conventional soft clustering algorithms perform well on linearly distributed features, but their performance degrades on nonlinearly distributed features in high-dimensional space. In this ...
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, ...
ABSTRACT: Predicting the material stability is essential for accelerating the discovery of advanced materials in renewable energy, aerospace, and catalysis. Traditional approaches, such as Density ...
PSMA-based PET imaging in newly diagnosed, high-risk localized prostate cancer, a National Cancer Institute (NCI) Cancer Moonshot trial. This is an ASCO Meeting Abstract from the 2025 ASCO ...
Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.
University of Bremen, Institute for Physical and Theoretical Chemistry, Leobener Str. 6, D-28359 Bremen, Germany Bremen Center for Computational Materials Science, University of Bremen, Am Fallturm 1, ...
ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...
US retail sales rose more than expected in December by 0.6 percent from the prior month, Commerce Department data showed - Copyright GETTY IMAGES NORTH AMERICA/AFP ...
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