Unsupervised clustering of LA-ICP-MS raster map data for geological interpretation: A case study using epidote from the Yerington district, Nevada

Unsupervised clustering of LA-ICP-MS raster map data for geological interpretation: A case study using epidote from the Yerington district, Nevada

Raster element concentration maps created using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) can be used to interpret microscale compositional and textural domains within mineral grains. Raster maps are typically evaluated element by element; however, application of statis...

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Bibliographic Details
Main Authors: Ayesha D. Ahmed, Shawn B. Hood, David R. Cooke, Ivan Belousov
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Applied Computing and Geosciences
Subjects:
Geochemistry
PCA
Unsupervised learning
LA-ICP-MS
k-means clustering
Epidote
Online Access:http://www.sciencedirect.com/science/article/pii/S2590197420300185

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http://www.sciencedirect.com/science/article/pii/S2590197420300185

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