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Incremental Nyström-based Multiple Kernel Clustering

Proceedings of the AAAI Conference on Artificial Intelligence
Existing Multiple Kernel Clustering (MKC) algorithms commonly utilize the Nyström method to handle large-scale datasets. However, most of them employ uniform sampling for kernel matrix approximation, hence failing to accurately capture the underlying data structure, leading to large approximation errors.
Yu Feng   +8 more
openaire   +1 more source

Stability and Generalization of Kernel Clustering: From Single Kernel to Multiple Kernel

Advances in Neural Information Processing Systems 35, 2022
Weixuan Liang   +8 more
openaire   +2 more sources

On the Consistency and Large-Scale Extension of Multiple Kernel Clustering

IEEE Transactions on Pattern Analysis and Machine Intelligence
Existing multiple kernel clustering (MKC) algorithms have two ubiquitous problems. From the theoretical perspective, most MKC algorithms lack sufficient theoretical analysis, especially the consistency of learned parameters, such as the kernel weights.
Weixuan Liang   +6 more
openaire   +2 more sources

Multiple Kernel Subspace Learning for Clustering and Classification

IEEE Transactions on Knowledge and Data Engineering, 2022
Ziqiu Chi   +6 more
openaire   +1 more source

Simultaneous Global and Local Graph Structure Preserving for Multiple Kernel Clustering

IEEE Transactions on Neural Networks and Learning Systems, 2021
Zhenwen Ren, Quansen Sun
exaly  

Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement

IEEE Transactions on Neural Networks and Learning Systems, 2023
Siwei Wang, Xinwang Liu
exaly  

Consensus Affinity Graph Learning for Multiple Kernel Clustering

IEEE Transactions on Cybernetics, 2021
Zhenwen Ren, Simon X Yang, Quansen Sun
exaly  

Late Fusion Multiple Kernel Clustering With Local Kernel Alignment Maximization

IEEE Transactions on Multimedia, 2023
Tiejian Zhang   +5 more
openaire   +1 more source

Multiple kernel clustering with local kernel reconstruction and global heat diffusion

Information Fusion, 2023
Yan Chen 0036   +4 more
openaire   +1 more source

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