Hood, S and Cracknell, M, Identifying common protoliths for altered rocks using clustering and classification of geochemical data at the Minto Copper-Gold Mine, Yukon, Canada, Extended Abstracts of Gold' 17, 21-23 February, Rotorua, New Zealand, pp. 52-56. ISBN 978-1-876118-01-3 (2017) [Refereed Conference Paper]
Copyright 2017 Australian Institute of Geoscientists
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Here we present a workflow to process a whole rock geochemical dataset and produce labels for groups of similar least-altered protolith rocks, and then apply these labels to groups of altered rocks. This method involves quick means of exploratory data analysis and lends itself to iterative refinement, relying on a geologist to use their knowledge of a particular site.
|Item Type:||Refereed Conference Paper|
|Keywords:||supervised classification, unsupervised clustering, geochemistry|
|Research Division:||Information and Computing Sciences|
|Research Group:||Artificial Intelligence and Image Processing|
|Research Field:||Pattern Recognition and Data Mining|
|Objective Division:||Mineral Resources (excl. Energy Resources)|
|Objective Group:||Mineral Exploration|
|Objective Field:||Precious (Noble) Metal Ore Exploration|
|Author:||Hood, S (Mr Shawn Hood)|
|Author:||Cracknell, M (Dr Matthew Cracknell)|
|Deposited By:||CODES ARC|
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