Random forest rock type classification with integration of geochemical and photographic data
Systematic manual and algorithmic classification workflows to characterize rock types are increasingly applied in the mineral exploration and mining industry, leveraging large systematically collected datasets. The aim of these are robust and repeatable classifications to aid more traditional visual...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-09-01
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| Series: | Applied Computing and Geosciences |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S259019742200012X |