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2 February 2023 A multiple-kernel based subspace clustering method
Yifang Yang, Fei Li
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Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 124621F (2023) https://doi.org/10.1117/12.2661171
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China
Abstract
Spectral clustering has been successfully used in the domain of pattern recognition and computer vision. Kernel subspace clustering has become a hot research topic because it can reveal the nonlinear structure. However, the performance of exiting single kernel subspace clustering relys heavily on the choice of kernel function. To address the problem, we propose a novel method called multiple-kernel based subspace clustering method (MKSC) by combining kernel block diagonal representation with multiple kernel learning. The proposed MKSC algorithm firstly obtains the optimal kernel matrix by using multiple kernel clustering method, then replace the kernel function in single kernel subspace clustering model with the optimized kernel matrix, finally the clustering result is got by optimizing the MKSC model. Experimental results on three datasets testify the effectiveness of our proposed MKSC method.
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Yifang Yang and Fei Li "A multiple-kernel based subspace clustering method", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 124621F (2 February 2023); https://doi.org/10.1117/12.2661171
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KEYWORDS
Computer vision technology
Machine vision
Pattern recognition
Basic research
Visual process modeling
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