Sparse Multiple Kernel Concept Factorization with Adaptive Orthogonal Factors

Concept factorization provides an interpretable route to clustering by expressing latent concepts as combinations of observed samples. Its development in multiple kernel settings, however, remains limited when one simultaneously requires kernel validity, low storage, and mathematically transparent o...

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Autors principals:	Qiang Shu, Yan Chen, Yunhui Liang, Liang Du
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-07-01
Col·lecció:	Mathematics
Matèries:	multiple kernel clustering concept factorization sparse kernel construction orthogonal factors adaptive weighting block coordinate optimization
Accés en línia:	https://www.mdpi.com/2227-7390/14/13/2356
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