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Torppa, Johanna; Nykänen, Vesa; Molnár, Ferenc (2019) Unsupervised clustering and empirical fuzzy memberships for mineral prospectivity modelling. Ore Geology Reviews, 107. doi:10.1016/j.oregeorev.2019.02.007

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Reference TypeJournal (article/letter/editorial)
TitleUnsupervised clustering and empirical fuzzy memberships for mineral prospectivity modelling
JournalOre Geology Reviews
AuthorsTorppa, JohannaAuthor
Nykänen, VesaAuthor
Molnár, FerencAuthor
Year2019 (April)Volume107
PublisherElsevier BV
DOIdoi:10.1016/j.oregeorev.2019.02.007Search in ResearchGate
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Mindat Ref. ID236462Long-form Identifiermindat:1:5:236462:3
GUID0
Full ReferenceTorppa, Johanna; Nykänen, Vesa; Molnár, Ferenc (2019) Unsupervised clustering and empirical fuzzy memberships for mineral prospectivity modelling. Ore Geology Reviews, 107. doi:10.1016/j.oregeorev.2019.02.007
Plain TextTorppa, Johanna; Nykänen, Vesa; Molnár, Ferenc (2019) Unsupervised clustering and empirical fuzzy memberships for mineral prospectivity modelling. Ore Geology Reviews, 107. doi:10.1016/j.oregeorev.2019.02.007
In(2019) Ore Geology Reviews Vol. 107. Elsevier BV

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Chudasama, Bijal; Torppa, Johanna; Nykänen, Vesa; Kinnunen, Janne (2022) Target-scale prospectivity modeling for gold mineralization within the Rajapalot Au-Co project area in northern Fennoscandian Shield, Finland. Part 2: Application of self-organizing maps and artificial neural networks for exploration targeting. Ore Geology Reviews, 147. doi:10.1016/j.oregeorev.2022.104936
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Kreuzer, Oliver P.; Yousefi, Mahyar; Nykänen, Vesa (2020) Introduction to the special issue on spatial modelling and analysis of ore-forming processes in mineral exploration targeting. Ore Geology Reviews, 119. doi:10.1016/j.oregeorev.2020.103391
Yousefi, Mahyar; Kreuzer, Oliver P.; Nykänen, Vesa; Hronsky, Jon M.A. (2019) Exploration information systems – A proposal for the future use of GIS in mineral exploration targeting. Ore Geology Reviews, 111. doi:10.1016/j.oregeorev.2019.103005
Nykänen, Vesa; Lahti, Ilkka; Niiranen, Tero; Korhonen, Kimmo (2015) Receiver operating characteristics (ROC) as validation tool for prospectivity models — A magmatic Ni–Cu case study from the Central Lapland Greenstone Belt, Northern Finland. Ore Geology Reviews, 71. doi:10.1016/j.oregeorev.2014.09.007
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