BootSC is an end-to-end deep spectral clustering method that learns affinity, spectral embedding, and k-means jointly with optimal-transport-derived supervision.
Deep embedded k-means clustering,
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Bootstrap Deep Spectral Clustering with Optimal Transport
BootSC is an end-to-end deep spectral clustering method that learns affinity, spectral embedding, and k-means jointly with optimal-transport-derived supervision.