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News/Robust Fuzzy local k-plane clustering with mixture distance of hinge loss and L1 norm
arxiv
PublishedApril 27, 2026 at 4:00 AM
▲bullish

Robust Fuzzy local k-plane clustering with mixture distance of hinge loss and L1 norm

Source
arxiv.orgfull article ↗
Read on arxiv→
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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Discussion
Mentioned models
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  • 01
    RFLkPC
Source
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arxiv
Read original ↗All from arxiv →
Tags
04
#clustering#machine-learning#robustness#optimization

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Mentioned models
01
  • 01
    RFLkPC
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#clustering#machine-learning#robustness#optimization
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Originally published on arxiv ↗
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