Grain-related clustering of Laue spots is claimed to be solvable by clustering an orientation-stamp feature space with hierarchical clustering and K-means, but the key indexing-twin pairing step is not described.
(2020) ‘Introduction to the k-means clustering algorithm based on the elbow method’, Accounting, Auditing and Finance, Vol
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Application of machine learning in grain-related clustering of Laue spots in a polycrystalline energy dispersive Laue pattern
Grain-related clustering of Laue spots is claimed to be solvable by clustering an orientation-stamp feature space with hierarchical clustering and K-means, but the key indexing-twin pairing step is not described.