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Fuzzy Clustering to Merge EDS and EBSD Datasets with Crystallographic Ambiguity

Published online by Cambridge University Press:  05 August 2019

Chad M. Parish
Chad M. Parish*
Affiliation:
Fundamentals of Radiation Effects Group, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
*
*Corresponding author: [email protected]

Abstract

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Type
Data Acquisition Schemes, Machine Learning Algorithms, and Open Source Software Development for Electron Microscopy
Information
Microscopy and Microanalysis , Volume 25 , Supplement S2 , August 2019 , pp. 134 - 135
Copyright
Copyright © Microscopy Society of America 2019 

References

[1]Nowell, MM et al. , Materials Science Forum, 509 (2006), p. 11.Google Scholar
[2]Parish, CM et al. , Proc. Microsc. Microan. 19(S2) (2013), p. 746.Google Scholar
[3]Stork, CL and Keenan, MR, Microsc. Microan. 16 (2010), p. 810.Google Scholar
[4]Keenan, MR in “Techniques and Applications of Hyperspectral Image Analysis”, ed. Grahn, HF and Geladi, P (Wiley, Chichester) p. 89.Google Scholar
[5]Fahrenholtz, WG et al. , Scripta Materialia, 129 (2017), p. 94.Google Scholar
[6]Research supported of US Department of Energy, Office of Science, Fusion Energy Sciences (via an Early Career Award), under contract number DE-AC05-00OR22725. Sample courtesy G. Hilmas & W. Fahrenholtz, Missouri University of Science and Technology. I acknowledge the Python toolboxes: scikit-learn, scikit-fuzzy, numpy, scipy, h5py, pycroscopy, pyUSID, and matplotlib-scalebar.Google Scholar