UMAP outperforms PCA and autoencoders for unsupervised classification of local structures in simulated and experimental colloidal systems.
In the second step, a fluorescent shell was grown around the particles, through which the particles could be detected with confocal/STED microscopy
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Comparing unsupervised learning methods for local structural identification in colloidal systems
UMAP outperforms PCA and autoencoders for unsupervised classification of local structures in simulated and experimental colloidal systems.