第2期 储德润，等：加权PageRank改进地标表示的自编码谱聚类算法 ·309· [13]XING W,GHORBANI A.Weighted PageRank al- York,USA,2014:661-670 gorithm[C]//Proceedings of Second Annual Conference [19]LI Mu,KWOK J T,LU Baoliang.Making large-scale on Communication Networks and Services Research.Fre- Nystrom approximation possible[C]//Proceedings of the dericton,Canada,2004:305-314. 27th International Conference on Machine Learning. [14]CHEN Xinlei,CAI Deng.Large scale spectral clustering Haifa,Israel,2010:631-638. with landmark-based representation[C]//Proceedings of [20]CHEN W Y,SONG Yangqiu,Bai Hongjie,et al.Parallel the Twenty-Fifth AAAI Conference on Artificial Intelli- spectral clustering in distributed systems[J].IEEE transac- gence.San Francisco,USA,2011:313-318. tions on pattern analysis and machine intelligence,2011. [15]CAI Deng,CHEN Xinlei.Large scale spectral clustering 33(3:568-586 via landmark-based sparse representation[J].IEEE trans- 作者简介： actions on cybernetics,2015,45(8):1669-1680. 储德润，硕土研究生，主要研究方 [16]BENGIO Y,COURVILLE A,VINCENT P.Representa- 向为数据挖掘。 tion learning:a review and new perspectives[J].IEEE transactions on pattern analysis and machine intelligence, 2013,35(8)1798-1828. [17]XIE Junyuan,GIRSHICK R B,FARHADI A.Unsuper- vised deep embedding for clustering analysis[C]//Pro- ceedings of the 33rd International Conference on Ma- 周治平，教授，博士，主要研究方 向为智能检测、网络安全，发表学术论 chine Learning.New York,USA,2016:478-487. 文20余篇。 [18]LI Mu,ZHANG Tong,CHEN Yuqiang,et al.Efficient mini-batch training for stochastic optimization[C]//Pro- ceedings of the 20th ACM SIGKDD International Confer- ence on Knowledge Discovery and Data Mining.NewXING W, GHORBANI A. Weighted PageRank al￾gorithm[C]//Proceedings of Second Annual Conference on Communication Networks and Services Research. Fre￾dericton, Canada, 2004: 305−314. [13] CHEN Xinlei, CAI Deng. Large scale spectral clustering with landmark-based representation[C]//Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelli￾gence. San Francisco, USA, 2011: 313−318. [14] CAI Deng, CHEN Xinlei. Large scale spectral clustering via landmark-based sparse representation[J]. IEEE trans￾actions on cybernetics, 2015, 45(8): 1669–1680. [15] BENGIO Y, COURVILLE A, VINCENT P. Representa￾tion learning: a review and new perspectives[J]. IEEE transactions on pattern analysis and machine intelligence, 2013, 35(8): 1798–1828. [16] XIE Junyuan, GIRSHICK R B, FARHADI A. Unsuper￾vised deep embedding for clustering analysis[C]//Pro￾ceedings of the 33rd International Conference on Ma￾chine Learning. New York, USA, 2016: 478−487. [17] LI Mu, ZHANG Tong, CHEN Yuqiang, et al. Efficient mini-batch training for stochastic optimization[C]//Pro￾ceedings of the 20th ACM SIGKDD International Confer￾ence on Knowledge Discovery and Data Mining. New [18] York, USA, 2014: 661−670. LI Mu, KWOK J T, LU Baoliang. Making large-scale Nyström approximation possible[C]//Proceedings of the 27th International Conference on Machine Learning. Haifa, Israel, 2010: 631−638. [19] CHEN W Y, SONG Yangqiu, Bai Hongjie, et al. Parallel spectral clustering in distributed systems[J]. IEEE transac￾tions on pattern analysis and machine intelligence, 2011, 33(3): 568–586. [20] 作者简介： 储德润，硕士研究生，主要研究方 向为数据挖掘。 周治平，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。 第 2 期 储德润，等：加权 PageRank 改进地标表示的自编码谱聚类算法 ·309·