One-step multi-view spectral clustering by learning common and specific nonnegative embeddings
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[1] Zenglin Xu,et al. Auto-weighted multi-view co-clustering with bipartite graphs , 2020, Inf. Sci..
[2] Rong Wang,et al. Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding , 2020, Inf. Fusion.
[3] Feiping Nie,et al. Multi-view spectral clustering via sparse graph learning , 2020, Neurocomputing.
[4] Zhao Zhang,et al. Multi-view clustering via spectral embedding fusion , 2018, Soft Comput..
[5] Yuxuan Luo,et al. A novel dataset-specific feature extractor for zero-shot learning , 2020, Neurocomputing.
[6] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[7] Feiping Nie,et al. Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering , 2017, IJCAI.
[8] Jiancheng Lv,et al. COMIC: Multi-view Clustering Without Parameter Selection , 2019, ICML.
[9] Tommy W. S. Chow,et al. Tree2Vector: Learning a Vectorial Representation for Tree-Structured Data , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[10] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[11] Shu Wu,et al. Multiview Clustering via Unified and View-Specific Embeddings Learning , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[12] Jiawei Han,et al. Multi-View Clustering via Joint Nonnegative Matrix Factorization , 2013, SDM.
[13] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[14] Feiping Nie,et al. Large-Scale Multi-View Spectral Clustering via Bipartite Graph , 2015, AAAI.
[15] Qinghua Hu,et al. Generalized Latent Multi-View Subspace Clustering , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Ying Liang,et al. Multi-view projected clustering with graph learning , 2020, Neural Networks.
[17] Hal Daumé,et al. A Co-training Approach for Multi-view Spectral Clustering , 2011, ICML.
[18] Ivica Kopriva,et al. Multi-view low-rank sparse subspace clustering , 2017, Pattern Recognit..
[19] Pietro Perona,et al. Self-Tuning Spectral Clustering , 2004, NIPS.
[20] Xuelong Li,et al. Multiview Clustering via Adaptively Weighted Procrustes , 2018, KDD.
[21] Yongdong Zhang,et al. Multiview Spectral Embedding , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[22] Zhihui Li,et al. Spectral Clustering of Customer Transaction Data With a Two-Level Subspace Weighting Method , 2019, IEEE Transactions on Cybernetics.
[23] Chang Tang,et al. Diversity and consistency learning guided spectral embedding for multi-view clustering , 2019, Neurocomputing.
[24] Xiaochun Cao,et al. Diversity-induced Multi-view Subspace Clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] ChengXiang Zhai,et al. Unsupervised Feature Selection for Multi-View Clustering on Text-Image Web News Data , 2014, CIKM.
[26] Lele Fu,et al. An overview of recent multi-view clustering , 2020, Neurocomputing.
[27] Tianrui Li,et al. Social web video clustering based on multi-view clustering via nonnegative matrix factorization , 2019, Int. J. Mach. Learn. Cybern..
[28] Cai Xu,et al. Deep Multi-View Concept Learning , 2018, IJCAI.
[29] Hal Daumé,et al. Co-regularized Multi-view Spectral Clustering , 2011, NIPS.
[30] Wenzhong Yang,et al. Study on multiple targets tracking algorithm based on multiple sensors , 2018, Cluster Computing.
[31] Chris H. Q. Ding,et al. On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering , 2005, SDM.
[32] Jiwen Lu,et al. Structured general and specific multi-view subspace clustering , 2019, Pattern Recognit..
[33] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[34] Yong Yu,et al. Robust Recovery of Subspace Structures by Low-Rank Representation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[35] Jeff A. Bilmes,et al. On Deep Multi-View Representation Learning , 2015, ICML.
[36] Hong Yu,et al. Multi-view clustering via multi-manifold regularized non-negative matrix factorization , 2017, Neural Networks.