Contrastive Kernel Subspace Clustering

Author:

Zhang Qian,Kang Zhao,Xu Zenglin,Fu Hongguang

Publisher

Springer Nature Singapore

Reference38 articles.

1. Abdolali, M., Gillis, N.: Beyond linear subspace clustering: A comparative study of nonlinear manifold clustering algorithms. Comput. Sci. Rev. 42, 100435 (2021)

2. Bu, F.: A high-order clustering algorithm based on dropout deep learning for heterogeneous data in cyber-physical-social systems. IEEE Access 6, 11687–11693 (2018)

3. Cai, D., He, X., Wang, X., Bao, H., Han, J.: Locality preserving nonnegative matrix factorization. In: IJCAI, pp. 1010–1015 (2009)

4. Chen, T., Kornblith, S., Norouzi, M., Hinton, G.E.: A simple framework for contrastive learning of visual representations. In: ICML. Proceedings of Machine Learning Research, vol. 119, pp. 1597–1607. PMLR (2020)

5. Chopra, S., Hadsell, R., LeCun, Y.: Learning a similarity metric discriminatively, with application to face verification. In: CVPR (1), pp. 539–546. IEEE Computer Society (2005)

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