arxiv
PublishedApril 27, 2026 at 4:00 AM
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Robust Fuzzy local k-plane clustering with mixture distance of hinge loss and L1 norm
Publisher summary· verbatim
arXiv:2604.22405v1 Announce Type: new Abstract: K-plane clustering (KPC), hyperplane clustering, and mixture regression all essentially fall within the same class of problems. This problem can be conceptualized as clustering in relatively high-dimensional K subspaces or K linear manifolds. Tradition
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Originally published on arxiv ↗