Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 220-225.doi: 10.11896/jsjkx.210100167
• Big Data & Data Science • Previous Articles Next Articles
LI Peng, LIU Li-jun, HUANG Yong-dong
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[1] JAIN A K,MURTY M N,FLYNN P J.Data clustering:a review[J].ACM Computing Surveys,1999,31(3):264-323. [2] MACQUEEN J.Some methods for classification and analysis of multivariate observations[J].Berkeley Symposium on Mathematical Statistics and Probability,1967,1(5):281-297. [3] FU G Y.Optimization methods for fuzzy clustering[J].Fuzzy Sets and Systems,1998,93(3):301-309. [4] KAUFMAN L,ROUSSEEUW P J.Finding Groups in Data:An Introduction to Cluster Analysis[J].John Wiley & Sons,New York,USA,1990. [5] LUXBURG U V.A tutorial on spectral clustering[J].Statistics and Computing,2007,17(4):395-416. [6] JIN J G.Review of Clustering Method[J].Computer Science,2014,41(S2):288-293. [7] LI P Q,LI Y D,DENG X L,et al.Spectral Clustering Algorithm Based on SimRank Score[J].Computer Science,2018,45(S2):458-461. [8] LI X Y,GUO L J.Constructing affinity matrix in spectral clustering based on neighbor propagation[J].Neurocomputing,2012,97:125-130. [9] TAO X M,WANG R T,CHANG R,et al.Low Density Separation Density Sensitive Distance-based Spectral Clustering Algorithm[J].Acta Automatica Sinica,2020,46(7):1479-1495. [10] CHEN J F,ZHANG M,HE Q.Heuristically Determining Cluster Numbers Based NJW Spectral Clustering Algorithm[J].Computer Science,2018,45(S2):474-479. [11] ZHANG R G,YAO X L,ZHAO J,et al.Manifold Spectral Clustering Image Segmentation Algorithm Based on Local Geometry Features[J].Pattern Recognition and Artificial Intelligence,2020,33(4):313-324. [12] CHARLESS F,SERGE B,FAN C,et al.Spectral grouping using the Nyström method[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2004,26(2):214-225. [13] QIU Y F,LIU C.Spectral Clustering Algorithm Based onWeighted Ensemble Nyström Sampling[J].Pattern Recognition and Artificial Intelligence,2019,32(5):420-428. [14] CHEN X L,CAI D.Large scale spectral clustering with landmark-based representation[C]//AAAI Conference on Artificial Intelligence.San Francisco,USA,2011:313-318. [15] CAI D,CHEN X L.Large scale spectral clustering via landmark-based sparse representation[J].IEEE Transactions on Cybernetics,2015,45(8):1669-1680. [16] YE M,LIU W F.Large Scale Spectral Clustering Based on Fast Landmark Sampling[J].Journal of Electronics & Information Technology,2017,39(2):278-284. [17] ZHANG X C,ZONG L L,YOU Q Z,et al.Sampling forNyström extension based spectral clustering:incremental perspective and novel analysis[J].ACM Transactions on Know-ledge Discovery from Data,2016,11(1):1-25. [18] CHEN X J,NIE F P,HUANG Z X,et al.Scalable normalized cut with improved spectral rotation[C]//Twenty-Sixth International Joint Conference on Artificial Intelligence.2017:1518-1524. [19] CHU D R,ZHOU Z P.An autoencoder spectral clustering algorithm for improving landmark representation by weighted PageRank[J].CAAI Transactions on Intelligent Systems,2020,15(2):302-309. [20] ZHANG M,ZHOU Z P.An autoencoder-based spectral clustering algorithm combined with metric fusion and landmark representation[J].CAAI Transactions on Intelligent Systems,2020,15(4):687-696. [21] YU S X,SHI J B.Multiclass spectral clustering[C]//Proceedings of the 9th IEEE International Conference on Computer Vision(ICCV'03).USA,2003:313-319. [22] HUANG J,NIE F P,HUANG H.Spectral rotation versus k-means in spectral clustering[C]//Proceedings of the AAAI Confe rence on Artificial Intelligence(AAAI'13).AAAI Press,2013:431-437. [23] YANG Y,SHEN F M,HUANG Z,et al.A unified framework for discretespectral clustering[C]//International Joint Confe-rence on Artificial Intelligence.2016:2273-2279. [24] PANG Y W,XIE J,NIE F P,et al.Spectral clustering by joint spectral embedding and spectral rotation[J].IEEE Transactions on Cybernetics,2020,50(1):247-258. [25] ZHU J T,JANG J L,LIU T,et al.Joint spectral clustering based on optimal graph and feature selection[J].Neural Processing Letters,2020(11):1-17, [26] ZHOU L,PING X J,XU S,et al.Cluster Ensemble Based on Spectral Clustering[J].Acta Automatica Sinica,2012,38(8):1335-1342. [27] STOER M,WAGNER F.A simple min-cut algorithm[J].Journal of the ACM,1997,44(4):585-591. [28] SHI J B,JITENDRA.Normalized cuts and image segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,11(9):888-905. [29] NG A Y,JORDAN M I,WEISS Y.On spectral clustering:Analysis and an algorithm[C]//Proceedings of the 14th International Conference on Neural Information Processing Systems:Natural and Synthetic.Cambridge,MA,USA,2002:849-856. [30] LIU W,HE J F,CHANG S F.Large graph construction forscalable semi-supervised learning[C]//Proceeding,Twenty-Se-venth International Conference on Machine Learning.Haifa,Israel,2010:679-686. [31] JOURNÉE M,NESTEROV Y,RICHTÁRIK P,et al.Genera-lized power method for sparse principal component analysis[J].Journal of Machine Learning Research,2010,11(2):517-553. [32] DHEERU D,TANISKIDOU E K.UCI Machine Learning Repository[EB/OL].http://archive.ics.uci.edu/ml. |
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