arxiv
PublishedOctober 1, 2026 at 4:00 AM
Non-negative Matrix Factorisation with Topological Regularisation
Publisher summary· verbatim
arXiv:2606.17531v2 Announce Type: replace Abstract: Non-negative matrix factorisation (NMF) learns additive representations from data, but non-negativity alone does not ensure interpretable basis functions. We introduce Top-NMF, which guides basis learning through general topological preferences wit
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Originally published on arxiv ↗