Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement

Multiple kernel clustering (MKC) optimally utilizes a group of pre-specified base kernels to improve clustering performance. Among existing MKC algorithms, the recently proposed late fusion MKC methods demonstrate promising clustering performance in various applications and enjoy considerable comput...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2023-08, Vol.34 (8), p.4359-4370
Hauptverfasser:	Wang, Siwei, Liu, Xinwang, Liu, Li, Zhou, Sihang, Zhu, En
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Benchmark testing Clustering Clustering algorithms Data fusion Embedding Kernel Kernels Learning systems Linear transformations multi-view learning multiple kernel clustering (MKC) Optimization Partitioning algorithms Task analysis
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