Work

aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis

Year: 2025

Type: article

Abstract: Ha et al., (2025). aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis. Journal of Open Source Software, 10(108), 7613, https://doi.org/10.21105/joss.07613

Source: The Journal of Open Source Software

DOI: 10.21105/joss.07613

Authors: Trung Ha, Joonas Nättilä, Jordy Davelaar

Institutions: University of North Texas, University of Massachusetts Amherst, Flatiron Institute, University of Helsinki, Columbia University, Princeton University

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: National Aeronautics and Space Administration, Space Telescope Science Institute, Flatiron Health, HORIZON EUROPE European Research Council

Awards: Illuminating neutron stars with radiative plasma physics, G3317843589, G433322167, G58316358, G6273510985

OpenAlex ID: W4409174453

FWCI: 0.822

Cites: 15

Cited by: 2

Related to: 10