Unsupervised machine learning-based prospectivity analysis of NW and NE India for carbonatite-alkaline complex-related REE deposits-Reference-Cited by-同舟云学术

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Unsupervised machine learning-based prospectivity analysis of NW and NE India for carbonatite-alkaline complex-related REE deposits

Published:2023-07 Issue: Volume: Page:126017
ISSN:0009-2819
Container-title:Geochemistry
language:en
Short-container-title:Geochemistry

Author:

Aranha Malcolm,Porwal Alok,González-Álvarez Ignacio

Publisher

Elsevier BV

Subject

Geochemistry and Petrology,Geophysics

Reference89 articles.

1. Clustering of mineral prospectivity area as an unsupervised classification approach to explore copper deposit;Abedi;Arab. J. Geosci.,2013

2. Statistical pattern integration for mineral exploration;Agterberg,1990

3. 3D architecture, structural evolution, and mineral prospectivity of the Gascoyne Province;Aitken,2014

4. Carbonatites in India through time and space: A review and implications for REE exploration;Aranha,2021

5. Targeting REE deposits associated with carbonatite and alkaline complexes in northeast India;Aranha;Ore Geol. Rev.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predictive Modeling of Canadian Carbonatite-Hosted REE +/− Nb Deposits;Natural Resources Research;2024-06-18

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