Randomized SVD approximations for spectral co-clustering of word-document matrices
Read the original at arxiv.org→arXiv:2609.19243v1 Announce Type: new Abstract: Spectral co-clustering is a useful tool for discovering latent structure in word-document matrices, but its reliance on singular value decomposition (SVD) can make...
Original headline: "Randomized SVD Approximations for Spectral Co-Clustering of Word-Document Matrices"
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- Sep 18, 04:00 UTC arXiv cs.LG lead source Randomized SVD Approximations for Spectral Co-Clustering of Word-Document Matrices