Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Journal:
Proceedings of the National Academy of Sciences of the United States of America
Published:
DOI:
10.1073/pnas.2527222122
Affiliations:
3
Authors:
4
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Institutions Authors Share
The University of Edinburgh, United Kingdom (UK)
2.500000
 0.63
Helmholtz-Zentrum Berlin for Materials and Energy (HZB), Germany
1.000000
 0.25
Liverpool John Moores University (LJMU), United Kingdom (UK)
0.500000
 0.13
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