Joint Learning of Spectral Clustering Structure and Fuzzy Similarity Matrix of Data
暂无分享,去创建一个
[1] L. Davis,et al. Joint Image Clustering and Labeling by Matrix Factorization , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[3] Zhaohong Deng,et al. Knowledge-Leverage-Based Fuzzy System and Its Modeling , 2013, IEEE Transactions on Fuzzy Systems.
[4] Zhaohong Deng,et al. Double indices induced FCM clustering and its integration with fuzzy subspace clustering , 2012, FUZZ-IEEE.
[5] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[6] Korris Fu-Lai Chung,et al. On minimum class locality preserving variance support vector machine , 2010, Pattern Recognit..
[7] K. Fan. On a Theorem of Weyl Concerning Eigenvalues of Linear Transformations I. , 1949, Proceedings of the National Academy of Sciences of the United States of America.
[8] Chi-Hoon Lee,et al. Clustering high dimensional data: A graph-based relaxed optimization approach , 2008, Inf. Sci..
[9] Shanlin Yang,et al. Fuzziness parameter selection in fuzzy c-means: The perspective of cluster validation , 2014, Science China Information Sciences.
[10] Frank Klawonn,et al. Improved fuzzy partitions for fuzzy regression models , 2003, Int. J. Approx. Reason..
[11] Robert Jenssen,et al. Mean shift spectral clustering , 2008, Pattern Recognit..
[12] K. Fan. On a Theorem of Weyl Concerning Eigenvalues of Linear Transformations: II. , 1949, Proceedings of the National Academy of Sciences of the United States of America.
[13] B. Mohar. THE LAPLACIAN SPECTRUM OF GRAPHS y , 1991 .
[14] W. T. Tucker,et al. Convergence theory for fuzzy c-means: Counterexamples and repairs , 1987, IEEE Transactions on Systems, Man, and Cybernetics.
[15] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[16] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[17] Chunyan Miao,et al. Large Scale Document Categorization With Fuzzy Clustering , 2017, IEEE Transactions on Fuzzy Systems.
[18] Larry S. Davis,et al. Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] S. C. Johnson. Hierarchical clustering schemes , 1967, Psychometrika.
[20] James M. Keller,et al. A possibilistic approach to clustering , 1993, IEEE Trans. Fuzzy Syst..
[21] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[22] Korris Fu-Lai Chung,et al. Possibility Theoretic Clustering and its Preliminary Application to Large Image Segmentation , 2007, Soft Comput..
[23] Andrew B. Kahng,et al. New spectral methods for ratio cut partitioning and clustering , 1991, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..
[24] Wei Hu,et al. Unsupervised Active Learning Based on Hierarchical Graph-Theoretic Clustering , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[25] Pengjiang Qian,et al. Fast Graph-Based Relaxed Clustering for Large Data Sets Using Minimal Enclosing Ball , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[26] Zhaohong Deng,et al. Robust maximum entropy clustering algorithm with its labeling for outliers , 2006, Soft Comput..
[27] Dale Schuurmans,et al. Maximum Margin Clustering , 2004, NIPS.
[28] Pietro Perona,et al. Self-Tuning Spectral Clustering , 2004, NIPS.
[29] Joydeep Ghosh,et al. Cluster Ensembles A Knowledge Reuse Framework for Combining Partitionings , 2002, AAAI/IAAI.
[30] Marina Meila,et al. l \ iultiway Cuts and Spectral Clustering , 2007 .
[31] J. Douglas Carroll,et al. Is the Distance Compression Effect Overstated? Some Theory and Experimentation , 2009, MLDM.
[32] YU BIN,et al. IMPACT OF REGULARIZATION ON SPECTRAL CLUSTERING , 2016 .
[33] Shitong Wang,et al. Attribute weighted mercer kernel based fuzzy clustering algorithm for general non-spherical datasets , 2006, Soft Comput..
[34] Frank Chung-Hoon Rhee,et al. Uncertain Fuzzy Clustering: Interval Type-2 Fuzzy Approach to $C$-Means , 2007, IEEE Transactions on Fuzzy Systems.
[35] Zhaohong Deng,et al. Semi-Supervised SVM With Extended Hidden Features , 2016, IEEE Transactions on Cybernetics.
[36] Delbert Dueck,et al. Clustering by Passing Messages Between Data Points , 2007, Science.
[37] Shanlin Yang,et al. Exploring the uniform effect of FCM clustering: A data distribution perspective , 2016, Knowl. Based Syst..
[38] Zhaohong Deng,et al. Multitask TSK Fuzzy System Modeling by Mining Intertask Common Hidden Structure , 2015, IEEE Transactions on Cybernetics.
[39] Hai Jin,et al. Color Image Segmentation Based on Mean Shift and Normalized Cuts , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[40] Weixin Xie,et al. Suppressed fuzzy c-means clustering algorithm , 2003, Pattern Recognit. Lett..
[41] Richard M. Leahy,et al. An Optimal Graph Theoretic Approach to Data Clustering: Theory and Its Application to Image Segmentation , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[42] Korris Fu-Lai Chung,et al. Generalized Fuzzy C-Means Clustering Algorithm With Improved Fuzzy Partitions , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[43] Punyaphol Horata,et al. Harmonic extreme learning machine for data clustering , 2016, 2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE).
[44] Korris Fu-Lai Chung,et al. Generalized competitive agglomeration clustering algorithm , 2016, International Journal of Machine Learning and Cybernetics.
[45] Takenobu Tokunaga,et al. Hierarchical Bayesian Clustering for Automatic Text Classification , 1995, IJCAI.
[46] Shifei Ding,et al. Research on Spectral Clustering algorithms and prospects , 2010, 2010 2nd International Conference on Computer Engineering and Technology.
[47] Yueting Zhuang,et al. Data-Dependent Label Distribution Learning for Age Estimation , 2017, IEEE Transactions on Image Processing.
[48] D. Higham,et al. A Unified View of Spectral Clustering ∗ , 2004 .
[49] Mohamed Ali Zoghlami,et al. Sampling-based consensus fuzzy clustering on Big Data , 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).