On the use of clustering workflows for automated microstructure segmentation of analytical STEM datasets
This study considers the issue of automated segmentation of scanning transmission electron microscopy (STEM) datasets using unsupervised machine learning approaches. To this end, a systematic comparison of two clustering workflows that had been established in previous literature was performed on two...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2025-01-01
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| Series: | APL Materials |
| Online Access: | http://dx.doi.org/10.1063/5.0246329 |
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