Auto-weighted multiple kernel tensor clustering

Auto-weighted multiple kernel tensor clustering

Abstract Multiple kernel subspace clustering (MKSC) has attracted intensive attention since its powerful capability of exploring consensus information by generating a high-quality affinity graph from multiple base kernels. However, the existing MKSC methods still exist the following limitations: (1)...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Yanlong Wang, Jinhua Liu, Cun Chang, Zhenwen Ren
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Springer 2023-06-01
Sarja:Complex & Intelligent Systems
Aiheet:
Multiple kernel clustering
Subspace learning
Spectral clustering
Tensor learning
Linkit:https://doi.org/10.1007/s40747-023-01112-5

Internet

https://doi.org/10.1007/s40747-023-01112-5

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