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TitleA Tale of Two Unsupervised Machine Learning Techniques: What PCA and Nmfk Tell Us about the Geologic Controls of Hydrothermal Processes
AuthorSiler, Drew; Pepin, Jeff; Vesselinov, Velimir; Mudunuru, Maruti; Ahmmed, Bulbul
AffiliationUnited States Geological Survey; Los Alamos National Laboratory; Pacific Northwest National Laboratory
PDFyes - members only!
Volume TitleUsing the Earth to Save the Earth
JournalGeothermal Resources Council Transactions
Volume45
Pages2313
Year2021
PublisherGeothermal Resources Council
Publication PlaceDavis, California
SubjectsMachine learning
Document TypeDigital Collection
LanguageEnglish
NotePoster Session Abstract
GRC ID#1034567
Permalinkhttps://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1034567