Selective Inference for Deep Clustering in Latent Spaces
An SI framework for deep clustering with a fixed pretrained encoder that provides a principled approach to quantifying the statistical reliability of structures discovered by deep clustering and enables valid statistical testing of differences between clusters identified in the latent space.
Eina Mizui, Tomohiro Shiraishi, S. Nishino et al.
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