Affinity analysis of mineral co-occurrence: Predicting unknown mineral occurrences with machine learning

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    W[2020AGUFMED0440001M]
    LA["Linked Authors (1)"]
    LI["Linked Institutions (5)"]
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ADS bibcode
2020AGUFMED0440001M
year
2020
Listed Authors
Morrison, S. M.
Prabhu, A.
Eleish, A.
Narkar, S.
Fox, P. A.
Golden, J. J.
Downs, R. T.
Perry, S.
Burns, P. C.
Ralph, J.
Hazen, R. M.
Listed Institutions
Earth and Planets Laboratory, Carnegie Institution for Science, Washington, DC, United States
Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY, United States
Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY, United States
Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY, United States
Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY, United States
University of Arizona, Tucson, AZ, United States
Department of Geosciences, University of Arizona, Tucson, AZ, United States
University of Notre Dame, Notre Dame, United States
Civil & Environmental Engineering & Earth Sciences, University of Notre Dame, South Bend, IN, United States
mindat.org, Surray, United Kingdom
Earth and Planets Laboratory, Carnegie Institution for Science, Washington, DC, United States

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