Geochemical Discrimination and Characteristics of Magmatic Tectonic Settings: A Machine-Learning-Based Approach-Reference-Cited by-同舟云学术

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Geochemical Discrimination and Characteristics of Magmatic Tectonic Settings: A Machine-Learning-Based Approach

Published:2018-04 Issue:4 Volume:19 Page:1327-1347
ISSN:1525-2027
Container-title:Geochemistry, Geophysics, Geosystems
language:en
Short-container-title:Geochem. Geophys. Geosyst.

Author:

Ueki Kenta¹²^ORCID,Hino Hideitsu³⁴,Kuwatani Tatsu¹⁵^ORCID

Affiliation:

1. Department of Solid Earth Geochemistry; Japan Agency for Marine-Earth Science and Technology; Yokosuka Kanagawa Japan

2. Earthquake Research Institute; University of Tokyo; Bunkyo Tokyo Japan

3. Graduate School of Systems and Information Engineering; University of Tsukuba; Tsukuba Ibaraki Japan

4. The Institute of Statistical Mathematics; Tachikawa Tokyo Japan

5. PRESTO, Japan Science and Technology Agency; Kawaguchi Saitama Japan

Funder

JSPS

JST CREST

JST PRESTO

Publisher

American Geophysical Union (AGU)

Subject

Geochemistry and Petrology,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2017GC007401/fullpdf

Reference75 articles.

1. Discriminant analysis applied to establish major-element field boundaries for tectonic varieties of basic rocks;Agrawal;International Geology Review,2004

2. Tectonic discrimination of basic and ultrabasic volcanic rocks through log-transformed ratios of immobile trace elements;Agrawal;International Geology Review,2008

3. The lognormal distribution of the elements (a fundamental law of geochemistry and its subsidiary);Ahrens;Geochimica et Cosmochimica Acta,1954

4. Geochemistry

5. Random forest in remote sensing: A review of applications and future directions;Belgiu;ISPRS Journal of Photogrammetry and Remote Sensing,2016

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