A deep embedded clustering algorithm in conjunction with an ensemble technique for mineral prospectivity mapping

Mobin Saremi, Zohre Hoseinzade, Mahyar Yousefi

Open source

DOI: 10.1038/s41598-025-21927-1
Published: 2025-10-30
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-21927-1,
  title = {A deep embedded clustering algorithm in conjunction with an ensemble technique for mineral prospectivity mapping},
  author = {Mobin Saremi and Zohre Hoseinzade and Mahyar Yousefi},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-21927-1},
  url = {https://doi.org/10.1038/s41598-025-21927-1}
}

RIS

TY  - JOUR
TI  - A deep embedded clustering algorithm in conjunction with an ensemble technique for mineral prospectivity mapping
AU  - Mobin Saremi
AU  - Zohre Hoseinzade
AU  - Mahyar Yousefi
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-21927-1
UR  - https://doi.org/10.1038/s41598-025-21927-1
ER  -

APA

Saremi, M., Hoseinzade, Z., & Yousefi, M. (2025). A deep embedded clustering algorithm in conjunction with an ensemble technique for mineral prospectivity mapping. Scientific Reports. https://doi.org/10.1038/s41598-025-21927-1

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crossref · retrieved 2026-11-10T13:57:32.337Z