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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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2026-07-01
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| Edice: | Mathematics |
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| On-line přístup: | https://www.mdpi.com/2227-7390/14/13/2356 |
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