UMAP outperforms PCA and autoencoders for unsupervised classification of local structures in simulated and experimental colloidal systems.
The supra- particles were index-matched within 0.002 using a mixture of 82.5 wt% glycerol/water
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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.