Journal of Shandong University(Engineering Science) ›› 2021, Vol. 51 ›› Issue (2): 65-73.doi: 10.6040/j.issn.1672-3961.0.2020.182
XIE Ziqi, WANG Lihong*, LI Man
CLC Number:
[1] ELHAMIFAR E, VIDAL R. Sparse subspace clustering: algorithm, theory, and applications[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2012, 35(11):2765-2781. [2] LIU G, LIN Z, YAN S, et al. Robust recovery of subspace structures by low-rank representation[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2013, 35(1):171-184. [3] LU C, FENG J, LIN Z, et al. Subspace clustering by block diagonal representation[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2019, 41(2):487-501. [4] YANG Y, ZHANG X. Subspace clustering algorithm based on Laplacian rank constraint[C] //Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference. Chengdu, China: IEEE, 2019:1556-1559. [5] VIDAL R, MA Y, SASTRY S. Generalized principal component analysis[M]. New York, USA: Springer, 2016. [6] WANG L, HUANG J, YI M, et al. Block diagonal representation learning for robust subspace clustering[J]. Information Sciences, 2020, 526:54-67. [7] ZHANG Zhao, REN Jiahuan, LI Sheng, et al. Robust subspace discovery by block-diagonal adaptive locality-constrained representation[C] //Proceedings of ACM International Conference on Multimedia(MM'19). Nice, France: ACM, 2019. [8] 郑建炜, 李卓蓉, 王万良, 等. 联合Laplacian正则项和特征自适应的数据聚类算法[J]. 软件学报, 2019, 30(12):3846-3861. ZHENG Jianwei, LI Zhuorong, WANG Wanliang, et al. Clustering with joint Laplacian regularization and adaptive feature learning[J]. Journal of Software, 2019, 30(12):3846-3861. [9] HE R, ZHANG Y, SUN Z, et al. Robust subspace clustering with complex noise[J]. IEEE Transactions on Image Processing, 2015, 24(11):4001-4013. [10] 鲁全茂. 面向高维数据的聚类算法研究[D]. 北京:中国科学院大学, 2018. LU Quanmao. Research on clustering algorithms for high-dimensional data[D]. Beijing:University of Chinese Academy of Sciences, 2018. [11] ABDOLALI M, RAHMATI M. Neither global nor local: a hierarchical robust subspace clustering for image data[J]. Information Sciences, 2020, 514:333-353. [12] LIU Maoshan, WANG Yan, SUN Jun, et al. Structured block diagonal representation for subspace clustering[J]. Applied Intelligence, 2020. [13] ZHANG Zhao, ZHANG Yan, LIU Guangcan, et al. Joint label prediction based semi-supervised adaptive concept factorization for robust data representation[J]. IEEE Transactions on Knowledge and Data Engineering, 2020, 32(5):952-970. [14] YIN M, XIE S, WU Z, et al. Subspace clustering via learning an adaptive low-rank graph[J]. IEEE Transactions on Image Processing, 2018, 27(8):3716-3728. [15] WANG Weiwei, YANG Chunyu, CHEN Huazhu, et al. Unified discriminative and coherent semi-supervised subspace clustering[J]. IEEE Transactions on Image Processing, 2018, 27(5):2461-2470. [16] LIU Y, LIU K, ZHANG C, et al. Entropy-based active sparse subspace clustering[J]. Multimedia Tools and Applications, 2018, 77:22281-22297. [17] WANG J, WANG X, TIAN F, et al. Constrained low-rank representation for robust subspace clustering[J]. IEEE Transactions on Cybernetics, 2017, 47(12):4534-4546. [18] WAGSTAFF K, CARDIE C, ROGERS S, et al. Constrained k-means clustering with background knowledge[C] //Proceedings of the Eighteenth International Conference on Machine Learning. MA, USA: Morgan Kaufmann Publishers Inc, 2001:577-584. [19] LUXBURG U V. A tutorial on spectral clustering[J]. Statistics & Computing, 2007, 17(4):395-416. [20] NIE F, WANG H, CAI X, et al. Robust matrix completion via joint schatten p-norm and lp-norm minimization[C] //Proceedings of IEEE International Conference on Data Mining Series. Brussels, Belgium: IEEE, 2012:566-574. |
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