Fast rank-2 nonnegative matrix factorization for hierarchical document clustering
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[1] 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.
[2] Chih-Jen Lin,et al. Projected Gradient Methods for Nonnegative Matrix Factorization , 2007, Neural Computation.
[3] KimHyunsoo,et al. Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method , 2008 .
[4] Chris H. Q. Ding,et al. Symmetric Nonnegative Matrix Factorization for Graph Clustering , 2012, SDM.
[5] Chris H. Q. Ding,et al. Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[6] Hyunsoo Kim,et al. Sparse Non-negative Matrix Factorizations via Alternating Non-negativity-constrained Least Squares , 2006 .
[7] George Karypis,et al. CLUTO - A Clustering Toolkit , 2002 .
[8] Thomas L. Griffiths,et al. Hierarchical Topic Models and the Nested Chinese Restaurant Process , 2003, NIPS.
[9] Andrew McCallum,et al. Automating the Construction of Internet Portals with Machine Learning , 2000, Information Retrieval.
[10] Haesun Park,et al. Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework , 2014, J. Glob. Optim..
[11] Sanjeev Arora,et al. A Practical Algorithm for Topic Modeling with Provable Guarantees , 2012, ICML.
[12] Ramayya Krishnan,et al. Incremental hierarchical clustering of text documents , 2006, CIKM '06.
[13] Thomas S. Huang,et al. Graph Regularized Nonnegative Matrix Factorization for Data Representation. , 2011, IEEE transactions on pattern analysis and machine intelligence.
[14] Jaana Kekäläinen,et al. Cumulated gain-based evaluation of IR techniques , 2002, TOIS.
[15] Xin Liu,et al. Document clustering based on non-negative matrix factorization , 2003, SIGIR.
[16] C. Lawson,et al. Solving least squares problems , 1976, Classics in applied mathematics.
[17] Peter Willett,et al. Recent trends in hierarchic document clustering: A critical review , 1988, Inf. Process. Manag..
[18] Hyunsoo Kim,et al. Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method , 2008, SIAM J. Matrix Anal. Appl..
[19] Haesun Park,et al. Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[20] Ding-Zhu Du,et al. A Decision Criterion for the Optimal Number of Clusters in Hierarchical Clustering , 2003, J. Glob. Optim..
[21] Christopher D. Manning,et al. Introduction to Information Retrieval , 2010, J. Assoc. Inf. Sci. Technol..
[22] M. V. Van Benthem,et al. Fast algorithm for the solution of large‐scale non‐negativity‐constrained least squares problems , 2004 .
[23] Chris H. Q. Ding,et al. Cluster merging and splitting in hierarchical clustering algorithms , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..
[24] George Karypis,et al. Hierarchical Clustering Algorithms for Document Datasets , 2005, Data Mining and Knowledge Discovery.
[25] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[26] Yiming Yang,et al. RCV1: A New Benchmark Collection for Text Categorization Research , 2004, J. Mach. Learn. Res..
[27] Andrew McCallum,et al. Optimizing Semantic Coherence in Topic Models , 2011, EMNLP.
[28] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[29] Luigi Grippo,et al. On the convergence of the block nonlinear Gauss-Seidel method under convex constraints , 2000, Oper. Res. Lett..
[30] Charles L. Lawson,et al. Solving least squares problems , 1976, Classics in applied mathematics.