Computer Science ›› 2018, Vol. 45 ›› Issue (11A): 474-479.
• Big Data & Data Mining • Previous Articles Next Articles
CHEN Jun-fen1, ZHANG Ming1, HE Qiang2
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[1]MACQUEENJ B.Some Methods for Classification and Analysis of Multivariate Observations[C]∥Proceedings of Berkeley Symposium on Mathematical Statistics and Probability.1967:281-297. [2]MACQUEENJ B.The Classification Problem[Z].Western Management Science Institute Working Paper,1962. [3]COXD R.Note on Grouping[J].Journal of the American Statistical Association,1957,52(280):543-547. [4]FISHERW D.On Grouping for Maximum Homogeneity[J]. Journal of the American Statistical Association,1958,53(284):789-798. [5]SEBESTYENG S.Decision Making Process in Pattern Recognition[M].New York:Macmillan,1962. [6]JAINA K.Data Clustering:50 Years Beyond K-means[J].Pattern Recognition Letters,2010,31(8):651-666. [7]BOCK H H.Clustering Methods:A History of K-means Algorithms[M]∥Selected Contributions in Data Analysis and Classification.Springer Berlin Heidelberg,2007:161-172. [8]王千,王成,冯振元,等.K-means聚类算法研究综述[J].电子设计工程,2012,20(7):21-24. [9]PERONAP,FREEMAN W.A Factorization Approach to Grou-ping [C]∥Proceedings of European Conference on Computer Vision (ECCV).1998:655-670. [10]NGA Y,JORDANM I,WEISS Y.On Spectral Clustering:Analysis and an Algorithm[C]∥Proceedings of the 14th Advances in Neural Information Processing System.2002:849-856. [11]LI C G,YOU C,VIDAL R.Structured Sparse Subspace Clustering:A Joint Affinity Learning and Subspace Clustering Framework[J].IEEE Transactions on Image Processing,2017,26(6):2988-3001. [12]LI C G,YOU C,VIDAL R.On Geometric Analysis of Affine Sparse Subspace Clustering[J].IEEE Journal on Selected Topics in Signal Processing,2018,12(6). [13]LI C G,ZHANG J J,GUO J.Constrained Sparse Subspace Clustering with Side Information[C]∥Proceedings of the 24th International Conference on Pattern Recognition (ICPR).2018:2093-2099. [14]LIANG J Q,HAN Y H,HU Q H.Semi-Supervised Image Clustering with Multimodal Information[J].Multimedia Systems,2016,22:149-160. [15]LUXBURGU V.A Tutorial on Spectral Clustering[J].Statistics & Computing,2007,17(4):395-416. [16]金建国.聚类方法综述[J].计算机科学,2014,41(S2):288-293. [17]ZELNIK-MANORL,PERONA P.Self-Tuning Spectral Clustering[C]∥Proceedings of the 16th Advances in Neural Information Processing System.2004:1601-1608. [18]WANG F,ZHANG C S.Robust Self-Tuning Semi-Supervised Learning[J].Neurocomputing,2007,70(16):2931-2939. [19]YANG C,ZHANG X,JIAO L,et al.Self-Tuning Semi-Super-vised Spectral Clustering[C]∥International Conference on Computational Intelligence & Security.2008:1-5. [20]KUMARV,HAHNJ,ZOUBIR A M.Band Selection for Hyperspectral Images Based on Self-Tuning Spectral Clustering[C]∥Proceedings of the 21st EuropeanSignal Processing Conference (EUSIPCO).2013. [21]POLITOM,PERONAP.Grouping and Dimensionality Reduction by Locally Linear Embedding[C]∥Proceedings of International Conference on Neural Information Processing Systems:Natural &Synthetic.2001:1255-1262. [22]ZENGC P,ZHOUA M,ZHANGG X.Self-adaptive Spectra Cluster Number Detecting with Particle Swarm Optimization Algorithm[C]∥Evolutionary Computation.IEEE,2016:4607-4611. [23]CHAN P,SCHLAG M,ZIEN S.Spectral K-Way Ratio-Cut Partitioning and Clustering[C]∥Proceedings of Conference on Design Automation.1993:749-754. [24]TENENBAUM J B,SILVAV D,LANGFORD J C.A Globa Geometric Framework for Nonlinear Dimensionality Reduction[J].Science,2000,290(5500):2319-2323. [25]RODRIGUEZ A,LAIO A.Clustering by Fast Search and Find of Density Peaks[J].Science,2014,344(6191):1492-1496. [26]李金泽,徐喜荣,潘子琦,等.改进的自适应谱聚类NJW 算法[J].计算机科学,2017,44(S1):424-427. [27]周海松,黄德才.密度自适应的半监督谱聚类算法[J].计算机科学,2016,43(12):209-212. [28]杨虎,付宇,范丹.噪音特征对聚类内部有效性的影响[J].计算机科学,2018,45(7):22-30. |
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