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Fatehi, Moslem; Asadi, Hooshang H. (2017) Application of semi-supervised fuzzy c-means method in clustering multivariate geochemical data, a case study from the Dalli Cu-Au porphyry deposit in central Iran. Ore Geology Reviews, 81. doi:10.1016/j.oregeorev.2016.10.002

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Reference TypeJournal (article/letter/editorial)
TitleApplication of semi-supervised fuzzy c-means method in clustering multivariate geochemical data, a case study from the Dalli Cu-Au porphyry deposit in central Iran
JournalOre Geology Reviews
AuthorsFatehi, MoslemAuthor
Asadi, Hooshang H.Author
Year2017 (March)Volume81
PublisherElsevier BV
DOIdoi:10.1016/j.oregeorev.2016.10.002Search in ResearchGate
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Mindat Ref. ID237488Long-form Identifiermindat:1:5:237488:2
GUID0
Full ReferenceFatehi, Moslem; Asadi, Hooshang H. (2017) Application of semi-supervised fuzzy c-means method in clustering multivariate geochemical data, a case study from the Dalli Cu-Au porphyry deposit in central Iran. Ore Geology Reviews, 81. doi:10.1016/j.oregeorev.2016.10.002
Plain TextFatehi, Moslem; Asadi, Hooshang H. (2017) Application of semi-supervised fuzzy c-means method in clustering multivariate geochemical data, a case study from the Dalli Cu-Au porphyry deposit in central Iran. Ore Geology Reviews, 81. doi:10.1016/j.oregeorev.2016.10.002
In(2017) Ore Geology Reviews Vol. 81. Elsevier BV

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