DCFSC replaces the trainable N by N self-expressive layer in deep subspace clustering with a closed-form matrix computed from latent features, cutting parameters dramatically while giving comparable results on small data and a strong result on COIL-100.
K-subspaces with missing data
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Deep Closed-Form Subspace Clustering
DCFSC replaces the trainable N by N self-expressive layer in deep subspace clustering with a closed-form matrix computed from latent features, cutting parameters dramatically while giving comparable results on small data and a strong result on COIL-100.