Machine Learning Workflow
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35114-3_3
Reference20 articles.
1. Aitchison, J. (1982). The statistical analysis of compositional data. Journal of the Royal Statistical Society. Series B (Methodological), 44(2), 139–177.
2. Aitchison, J. (1984). The statistical analysis of geochemical compositions. Journal of the International Association for Mathematical Geology, 16(6), 531–564.
3. Aitchison, J., & Egozcue, J. J. (2005). Compositional data analysis: Where are we and where should we be heading? Mathematical Geology, 37(7), 829–850. https://doi.org/10.1007/S11004-005-7383-7
4. Bestagini, P., Lipari, V., & Tubaro, S. (2017). A machine learning approach to facies classification using well logs. In SEG Technical Program Expanded Abstracts (pp. 2137–2142). https://doi.org/10.1190/SEGAM2017-17729805.1
5. Boujibar, A., Howell, S., Zhang, S., Hystad, G., Prabhu, A., Liu, N., Stephan, T., Narkar, S., Eleish, A., Morrison, S. M., Hazen, R. M., & Nittler, L. R. (2021). Cluster analysis of presolar silicon carbide grains: Evaluation of their classification and astrophysical implications. The Astrophysical Journal. Letters, 907(2), L39. https://doi.org/10.3847/2041-8213/ABD102
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