Strategies for EELS Data Analysis. Introducing UMAP and HDBSCAN for Dimensionality Reduction and Clustering
Hierarchical density-based spatial clustering of applications with noise (HDBSCAN) and uniform manifold approximation and projection (UMAP), two new state-of-the-art algorithms for clustering analysis, and dimensionality reduction, respectively, are proposed for the segmentation of core-loss electro...
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| Published in: | Microscopy and microanalysis Vol. 28; no. 1; pp. 109 - 122 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York, USA
Cambridge University Press
01.02.2022
Oxford University Press |
| Subjects: | |
| ISSN: | 1431-9276, 1435-8115, 1435-8115 |
| Online Access: | Get full text |
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