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[14]SHI Jianbo,MALIK J.Normalized cuts and image seg- mentation[J].IEEE transactions on pattern analysis and 作者简介： machine intelligence,2000,22(8):888-905. 储德润，男.1994年生，硕士研究 [15]LIU Xiaodong.The fuzzy theory based on AFS algebras 生，主要研究方向为数据挖掘。 and AFS structure[J].Journal of mathematical analysis and applications,1998,217(2):459-478. [16]LIU Xiaodong,PEDRYCZ W,ZHANG Qingling.Axio- matics fuzzy sets logic[Cl//Proceedings of the12th IEEE International Conference on Fuzzy Systems.St Louis, USA.2003:55-60. 周治平，男，1962年生，教授，博 [17]LIU Xiaodong,PEDRYCZ W.Axiomatic fuzzy set the- 士，主要研究方向为智能检测、网络安 ory and its applications[M].Berlin,Heidelberg:Springer, 全。发表学术论文20余篇。 2009. [18]LIU Xiaodong,PEDRYCZ W,CHAI Tianyou,et al.The development of fuzzy rough sets with the use of struc- tures and algebras of axiomatic fuzzy sets[J].IEEE trans-tures in complex networks[J]. Applied mathematics letters, 2009, 22(9): 1479–1482. FORESTIER G, WEMMERT C. Semi-supervised learn￾ing using multiple clusterings with limited labeled data[J]. Information sciences, 2016, 361−362: 48–65. [6] 赵晓晓, 周治平. 结合稀疏表示与约束传递的半监督谱 聚类算法 [J]. 智能系统学报, 2018, 13(5): 855–863. ZHAO Xiaoxiao, ZHOU Zhiping. A semi-supervised spec￾tral clustering algorithm combined with sparse representa￾tion and constraint propagation[J]. CAAI transactions on intelligent systems, 2018, 13(5): 855–863. [7] 林大华, 杨利锋, 邓振云, 等. 稀疏样本自表达子空间聚 类算法 [J]. 智能系统学报, 2016, 11(5): 696–702. LIN Dahua, YANG Lifeng, DENG Zhenyun, et al. Sparse sample self-representation for subspace clustering[J]. CAAI transactions on intelligent systems, 2016, 11(5): 696–702. [8] CHANG Yanshuo, NIE Feiping, LI Zhihui, et al. Refined spectral clustering via embedded label propagation[J]. Neural computation, 2017, 29(12): 3381–3396. [9] NG A Y, JORDAN M I, WEISS Y. On spectral cluster￾ing: analysis and an algorithm[C]//Proceedings of the 14th International Conference on Neural Information Pro￾cessing Systems: Natural and Synthetic. Vancouver, Canada, 2001: 849−856. [10] YE Xiucai, SAKURAI T. Robust similarity measure for spectral clustering based on shared neighbors[J]. ETRI journal, 2016, 38(3): 540–550. [11] JIA Hongjie, DING Shifei, DU Mingjing. Self-tuning p - spectral clustering based on shared nearest neighbors[J]. Cognitive computation, 2015, 7(5): 622–632. [12] 王雅琳, 陈斌, 王晓丽, 等. 基于密度调整的改进自适应 谱聚类算法 [J]. 控制与决策, 2014, 29(9): 1683–1687. WANG Yalin, CHEN Bin, WANG Xiaoli, et al. Im￾proved adaptive spectral clustering algorithm based on density adjustment[J]. Control and decision, 2014, 29(9): 1683–1687. [13] SHI Jianbo, MALIK J. Normalized cuts and image seg￾mentation[J]. IEEE transactions on pattern analysis and machine intelligence, 2000, 22(8): 888–905. [14] LIU Xiaodong. The fuzzy theory based on AFS algebras and AFS structure[J]. Journal of mathematical analysis and applications, 1998, 217(2): 459–478. [15] LIU Xiaodong, PEDRYCZ W, ZHANG Qingling. Axio￾matics fuzzy sets logic[C]//Proceedings of the12th IEEE International Conference on Fuzzy Systems. St Louis, USA, 2003: 55-60. [16] LIU Xiaodong, PEDRYCZ W. Axiomatic fuzzy set the￾ory and its applications[M]. Berlin, Heidelberg: Springer, 2009. [17] LIU Xiaodong, PEDRYCZ W, CHAI Tianyou, et al. The development of fuzzy rough sets with the use of struc￾tures and algebras of axiomatic fuzzy sets[J]. IEEE trans- [18] actions on knowledge and data engineering, 2009, 21(3): 443–462. LIU Xiaodong, REN Yan. Novel artificial intelligent tech￾niques via AFS theory: feature selection, concept categor￾ization and characteristic description[J]. Applied soft computing, 2010, 10(3): 793–805. [19] LIU Xiaodong, WANG Xianchang, PEDRYCZ W. Fuzzy clustering with semantic interpretation[J]. Applied soft computing, 2015, 26: 21–30. [20] LIU Xiaodong, WANG Wei, CHAI T. The fuzzy cluster￾ing analysis based on AFS theory[J]. IEEE transactions on systems, man, and cybernetics, part B, 2005, 35(5): 1013–1027. [21] ZELNIK-Manor L, PERONA P. Self-tuning spectral clus￾tering[C]//Proceedings of the 17th International Confer￾ence on Neural Information Processing Systems. Pas￾adena, USA, 2004: 1601−1608. [22] YAN Donghui, HUANG Ling, JORDAN M I. Fast ap￾proximate spectral clustering[C]//Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Paris, France, 2009: 907−916. [23] LI Mu, KWOK J T, LU Baoliang. Making large-scale nyström approximation possible[C]//Proceedings of the 27th International Conference on International Confer￾ence on Machine Learning. Haifa, Israel, 2010: 631−638. [24] CAI Deng, CHEN Xinlei. Large scale spectral clustering via landmark-based sparse representation[J]. IEEE trans￾actions on cybernetics, 2015, 45(8): 1669–1680. [25] SCHÖLKOPF B, PLATT J, HOFMANN T. A local learn￾ing approach for clustering[C]//Proceedings of the 19th International Conference on Neural Information Pro￾cessing Systems. Doha, Qatar, 2007: 1529−1536. [26] STREHL A, GHOSH J. Cluster ensembles: a knowledge reuse framework for combining partitionings[C]//Pro￾ceedings of the 18th National Conference on Artificial In￾telligence. Alberta, Canada, 2003: 583–617. [27] 作者简介： 储德润，男，1994 年生，硕士研究 生，主要研究方向为数据挖掘。 周治平，男，1962 年生，教授，博 士，主要研究方向为智能检测、网络安 全。发表学术论文 20 余篇。 ·904· 智 能 系 统 学 报 第 14 卷