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Identification of multi-element geochemical anomalies using unsupervised machine learning algorithms: A case study from Ag–Pb–Zn deposits in north-western Zhejiang, China
Research article (Applied Geochemistry, 2020) · cited 60× · AI/ML
Identification of multi-element geochemical anomalies using unsupervised machine learning algorithms: A case study from Ag–Pb–Zn deposits in north-western Zhejiang, China
Summary
Identification of multi-element geochemical anomalies using unsupervised machine learning algorithms: A case study from Ag–Pb–Zn deposits in north-western Zhejiang, China is a scholarly article[1].
Key Facts
Identification of multi-element geochemical anomalies using unsupervised machine learning algorithms: A case study from Ag–Pb–Zn deposits in north-western Zhejiang, China's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Identification of multi-element geochemical anomalies using unsupervised machine learning algorithms: A case study from Ag–Pb–Zn deposits in north-western Zhejiang, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/identification-of-multi-element-geochemical-anomalies-using-unsupervised-machine-learning-algorithms-a-case-study-from-a
MLA“Identification of multi-element geochemical anomalies using unsupervised machine learning algorithms: A case study from Ag–Pb–Zn deposits in north-western Zhejiang, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identification-of-multi-element-geochemical-anomalies-using-unsupervised-machine-learning-algorithms-a-case-study-from-a.
BibTeX@misc{4ortxyz_identification-of-multi-element-geochemical-anomalies-using-unsupervised-machine-learning-algorithms-a-case-study-from-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identification of multi-element geochemical anomalies using unsupervised machine learning algorithms: A case study from Ag–Pb–Zn deposits in north-western Zhejiang, China}}, year = {2026}, url = {https://4ort.xyz/entity/identification-of-multi-element-geochemical-anomalies-using-unsupervised-machine-learning-algorithms-a-case-study-from-a}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identification of multi-element geochemical anomalies using unsupervised machine learning algorithms: A case study from Ag–Pb–Zn deposits in north-western Zhejiang, China — https://4ort.xyz/entity/identification-of-multi-element-geochemical-anomalies-using-unsupervised-machine-learning-algorithms-a-case-study-from-a (retrieved 2026-05-24)
