Fuzzy Clustering to Merge EDS and EBSD Datasets with Crystallographic Ambiguity
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Abstract
Journal Article Fuzzy Clustering to Merge EDS and EBSD Datasets with Crystallographic Ambiguity Get access Chad M Parish Chad M Parish Fundamentals of Radiation Effects Group, Oak Ridge National Laboratory, Oak Ridge, TN, USA Corresponding author: parishcm@ornl.gov Search for other works by this author on: Oxford Academic Google Scholar Microscopy and Microanalysis, Volume 25, Issue S2, 1 August 2019, Pages 134–135, https://doi.org/10.1017/S1431927619001405 Published: 01 August 2019
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OpenAlex topics: Machine Learning in Materials Science · Radioactive element chemistry and processing · Advanced X-ray and CT Imaging
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References (6)
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5. 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.
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