Nonnegative Matrix Factorizations for Clustering: A Survey
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Chris H. Q. Ding | Tao Li | C. Ding | Tao Li
[1] C. Ding,et al. Non-negative Tri-factor tensor decomposition with applications , 2012, Knowledge and Information Systems.
[2] Karl Rupp,et al. GPU-Accelerated Non-negative Matrix Factorization for Text Mining , 2012, NLDB.
[3] Vikas Sindhwani,et al. Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization , 2012, WSDM '12.
[4] Jian Yu,et al. Text Clustering via Constrained Nonnegative Matrix Factorization , 2011, 2011 IEEE 11th International Conference on Data Mining.
[5] Haesun Park,et al. Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons , 2011, SIAM J. Sci. Comput..
[6] Christian Bauckhage,et al. Convex non-negative matrix factorization for massive datasets , 2011, Knowledge and Information Systems.
[7] Fei Wang,et al. Towards Evolutionary Nonnegative Matrix Factorization , 2011, AAAI.
[8] Thomas S. Huang,et al. Graph Regularized Nonnegative Matrix Factorization for Data Representation. , 2011, IEEE transactions on pattern analysis and machine intelligence.
[9] Yihong Gong,et al. Integrating Document Clustering and Multidocument Summarization , 2011, TKDD.
[10] Fei Wang,et al. Community discovery using nonnegative matrix factorization , 2011, Data Mining and Knowledge Discovery.
[11] Wei Peng,et al. Temporal relation co-clustering on directional social network and author-topic evolution , 2011, Knowledge and Information Systems.
[12] Yanhua Chen,et al. Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering , 2010, IEEE Transactions on Knowledge and Data Engineering.
[13] Noel Lopes,et al. Non-negative Matrix Factorization Implementation Using Graphic Processing Units , 2010, IDEAL.
[14] Chris H. Q. Ding,et al. Weighted Feature Subset Non-negative Matrix Factorization and Its Applications to Document Understanding , 2010, 2010 IEEE International Conference on Data Mining.
[15] Václav Snásel,et al. Non-negative Matrix Factorization on GPU , 2010, NDT.
[16] Haifeng Liu,et al. Non-Negative Matrix Factorization with Constraints , 2010, AAAI.
[17] Erkki Oja,et al. Linear and Nonlinear Projective Nonnegative Matrix Factorization , 2010, IEEE Transactions on Neural Networks.
[18] Chao Liu,et al. Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapreduce , 2010, WWW '10.
[19] Andrzej Cichocki,et al. Nonnegative Matrix and Tensor Factorization T , 2007 .
[20] Tao Li,et al. A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge , 2009, ACL.
[21] Chris H. Q. Ding,et al. Knowledge transformation for cross-domain sentiment classification , 2009, SIGIR.
[22] Quanquan Gu,et al. Local Learning Regularized Nonnegative Matrix Factorization , 2009, IJCAI.
[23] Chris H. Q. Ding,et al. Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[24] Vikas Sindhwani,et al. Document-Word Co-regularization for Semi-supervised Sentiment Analysis , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[25] Jianying Hu,et al. Regularized Co-Clustering with Dual Supervision , 2008, NIPS.
[26] Ying Chen,et al. Clustering-based initialization for non-negative matrix factorization , 2008, Appl. Math. Comput..
[27] Gideon S. Mann,et al. Learning from labeled features using generalized expectation criteria , 2008, SIGIR '08.
[28] Chris H. Q. Ding,et al. Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization , 2008, SIGIR '08.
[29] Chris H. Q. Ding,et al. Knowledge transformation from word space to document space , 2008, SIGIR '08.
[30] Andrzej Cichocki,et al. Nonnegative matrix factorization with quadratic programming , 2008, Neurocomputing.
[31] Mikkel N. Schmidt,et al. Nonnegative Matrix Factorization with Gaussian Process Priors , 2008, Comput. Intell. Neurosci..
[32] Chris H. Q. Ding,et al. On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing , 2008, Comput. Stat. Data Anal..
[33] Christos Boutsidis,et al. SVD based initialization: A head start for nonnegative matrix factorization , 2008, Pattern Recognit..
[34] I. Dhillon,et al. Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem , 2008 .
[35] Liviu Badea,et al. Extracting Gene Expression Profiles Common to Colon and Pancreatic Adenocarcinoma Using Simultaneous Nonnegative Matrix Factorization , 2007, Pacific Symposium on Biocomputing.
[36] Fei Wang,et al. Gene Selection via Matrix Factorization , 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.
[37] Chris H. Q. Ding,et al. Binary Matrix Factorization with Applications , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[38] Michael W. Berry,et al. Algorithms and applications for approximate nonnegative matrix factorization , 2007, Comput. Stat. Data Anal..
[39] Andrzej Cichocki,et al. Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization , 2007, ICA.
[40] Stephen A. Vavasis,et al. On the Complexity of Nonnegative Matrix Factorization , 2007, SIAM J. Optim..
[41] Maurizio Vichi,et al. Simultaneous Component and Clustering Models for Three-way Data: Within and Between Approaches , 2007, J. Classif..
[42] Hyunsoo Kim,et al. Sparse Non-negative Matrix Factorizations via Alternating Non-negativity-constrained Least Squares , 2006 .
[43] Sun Park,et al. Multi-document Summarization Based on Cluster Using Non-negative Matrix Factorization , 2007, SOFSEM.
[44] Qiang Yang,et al. Detect and Track Latent Factors with Online Nonnegative Matrix Factorization , 2007, IJCAI.
[45] Tao Li,et al. The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering , 2006, Sixth International Conference on Data Mining (ICDM'06).
[46] Kunle Olukotun,et al. Map-Reduce for Machine Learning on Multicore , 2006, NIPS.
[47] Pauli Miettinen,et al. The Discrete Basis Problem , 2006, IEEE Transactions on Knowledge and Data Engineering.
[48] Philip S. Yu,et al. Unsupervised learning on k-partite graphs , 2006, KDD '06.
[49] A. Cichocki,et al. Multilayer nonnegative matrix factorisation , 2006 .
[50] Chris H. Q. Ding,et al. Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing: Equivalence Chi-Square Statistic, and a Hybrid Method , 2006, AAAI.
[51] T. Kanade,et al. Discriminative cluster analysis , 2006, ICML.
[52] S. Sra. Nonnegative Matrix Approximation: Algorithms and Applications , 2006 .
[53] Michael W. Berry,et al. Document clustering using nonnegative matrix factorization , 2006, Inf. Process. Manag..
[54] Inderjit S. Dhillon,et al. Generalized Nonnegative Matrix Approximations with Bregman Divergences , 2005, NIPS.
[55] Philip S. Yu,et al. Co-clustering by block value decomposition , 2005, KDD '05.
[56] Tao Li,et al. A general model for clustering binary data , 2005, KDD '05.
[57] Tamir Hazan,et al. Non-negative tensor factorization with applications to statistics and computer vision , 2005, ICML.
[58] Aristides Gionis,et al. Clustering aggregation , 2005, 21st International Conference on Data Engineering (ICDE'05).
[59] Daniel T. Larose,et al. An Introduction to Data Mining , 2005 .
[60] Sanjay Ghemawat,et al. MapReduce: simplified data processing on large clusters , 2008, CACM.
[61] Tommi S. Jaakkola,et al. Maximum-Margin Matrix Factorization , 2004, NIPS.
[62] Tao Li,et al. On combining multiple clusterings , 2004, CIKM '04.
[63] Stefan M. Wild,et al. Improving non-negative matrix factorizations through structured initialization , 2004, Pattern Recognit..
[64] Rasmus Bro,et al. Multi-way Analysis with Applications in the Chemical Sciences , 2004 .
[65] Paris Smaragdis,et al. Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs , 2004, ICA.
[66] Patrik O. Hoyer,et al. Non-negative Matrix Factorization with Sparseness Constraints , 2004, J. Mach. Learn. Res..
[67] Raymond J. Mooney,et al. Integrating constraints and metric learning in semi-supervised clustering , 2004, ICML.
[68] Carla E. Brodley,et al. Solving cluster ensemble problems by bipartite graph partitioning , 2004, ICML.
[69] Chris H. Q. Ding,et al. K-means clustering via principal component analysis , 2004, ICML.
[70] Pablo Tamayo,et al. Metagenes and molecular pattern discovery using matrix factorization , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[71] Jianbo Shi,et al. Multiclass spectral clustering , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[72] Xin Liu,et al. Document clustering based on non-negative matrix factorization , 2003, SIGIR.
[73] Joydeep Ghosh,et al. Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..
[74] Chris H. Q. Ding,et al. Cluster merging and splitting in hierarchical clustering algorithms , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..
[75] Jonathan Foote,et al. Summarizing video using non-negative similarity matrix factorization , 2002, 2002 IEEE Workshop on Multimedia Signal Processing..
[76] Arindam Banerjee,et al. Semi-supervised Clustering by Seeding , 2002, ICML.
[77] Dan Klein,et al. From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering , 2002, ICML.
[78] Stan Z. Li,et al. Learning spatially localized, parts-based representation , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[79] Inderjit S. Dhillon,et al. Co-clustering documents and words using bipartite spectral graph partitioning , 2001, KDD '01.
[80] Claire Cardie,et al. Proceedings of the Eighteenth International Conference on Machine Learning, 2001, p. 577–584. Constrained K-means Clustering with Background Knowledge , 2022 .
[81] Chris H. Q. Ding,et al. Bipartite graph partitioning and data clustering , 2001, CIKM '01.
[82] Chris H. Q. Ding,et al. Spectral Relaxation for K-means Clustering , 2001, NIPS.
[83] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[84] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[85] Vipin Kumar,et al. A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs , 1998, SIAM J. Sci. Comput..
[86] P. Paatero,et al. Positive matrix factorization applied to a curve resolution problem , 1998 .
[87] A. Edelman,et al. The Geometry of Algorithms with Orthogonality Constraints , 1998, SIAM J. Matrix Anal. Appl..
[88] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[89] P. Paatero,et al. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values† , 1994 .
[90] Chris H. Q. Ding,et al. Symmetric Nonnegative Matrix Factorization for Graph Clustering , 2012, SDM.
[91] Seungjin Choi,et al. Semi-Supervised Nonnegative Matrix Factorization , 2010, IEEE Signal Processing Letters.
[92] Chris H. Q. Ding,et al. Bridging Domains with Words: Opinion Analysis with Matrix Tri-factorizations , 2010, SDM.
[93] Chris H. Q. Ding,et al. Convex and Semi-Nonnegative Matrix Factorizations , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[94] Bülent Yener,et al. Unsupervised Multiway Data Analysis: A Literature Survey , 2009, IEEE Transactions on Knowledge and Data Engineering.
[95] Chris H. Q. Ding,et al. Binary matrix factorization for analyzing gene expression data , 2009, Data Mining and Knowledge Discovery.
[96] David Wessel,et al. Accelerating Non-Negative Matrix Factorization for Audio Source Separation on Multi-Core and Many-Core Architectures , 2009, ISMIR.
[97] Andrzej Cichocki,et al. Analysis of financial data using non-negative matrix factorisation , 2008 .
[98] Fillia Makedon,et al. Learning from Incomplete Ratings Using Non-negative Matrix Factorization , 2006, SDM.
[99] Brett W. Bader,et al. The TOPHITS Model for Higher-Order Web Link Analysis∗ , 2006 .
[100] Efstratios Gallopoulos,et al. CLSI: A Flexible Approximation Scheme from Clustered Term-Document Matrices , 2005, SDM.
[101] Chris H. Q. Ding,et al. On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering , 2005, SDM.
[102] Michael W. Berry,et al. Text Mining Using Non-Negative Matrix Factorizations , 2004, SDM.
[103] Inderjit S. Dhillon,et al. Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data , 2004, SDM.
[104] Daniel D. Lee,et al. Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines , 2002, NIPS.
[105] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.