Non-negative Tri-factor tensor decomposition with applications
暂无分享,去创建一个
[1] J. Leeuw,et al. Principal component analysis of three-mode data by means of alternating least squares algorithms , 1980 .
[2] GhoshJoydeep,et al. Cluster ensembles --- a knowledge reuse framework for combining multiple partitions , 2003 .
[3] Christian Bauckhage,et al. Convex non-negative matrix factorization for massive datasets , 2011, Knowledge and Information Systems.
[4] David E. Booth,et al. Multi-Way Analysis: Applications in the Chemical Sciences , 2005, Technometrics.
[5] Tao Li,et al. The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering , 2006, Sixth International Conference on Data Mining (ICDM'06).
[6] Richard A. Harshman,et al. Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-model factor analysis , 1970 .
[7] C. Ding,et al. On the Equivalence of Nonnegative Matrix Factorization and K-means - Spectral Clustering , 2005 .
[8] P. Paatero. The Multilinear Engine—A Table-Driven, Least Squares Program for Solving Multilinear Problems, Including the n-Way Parallel Factor Analysis Model , 1999 .
[9] Tamir Hazan,et al. Non-negative tensor factorization with applications to statistics and computer vision , 2005, ICML.
[10] N. L. Johnson,et al. Multivariate Analysis , 1958, Nature.
[11] Huan Liu,et al. CubeSVD: a novel approach to personalized Web search , 2005, WWW '05.
[12] Springer-Verlag London Limited. Temporal relation co-clustering on directional social network and author-topic evolution , 2010 .
[13] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[14] Gene H. Golub,et al. Rank-One Approximation to High Order Tensors , 2001, SIAM J. Matrix Anal. Appl..
[15] W. DeSarbo. Gennclus: New models for general nonhierarchical clustering analysis , 1982 .
[16] Rasmus Bro,et al. Multi-way Analysis with Applications in the Chemical Sciences , 2004 .
[17] Philip S. Yu,et al. Top 10 algorithms in data mining , 2007, Knowledge and Information Systems.
[18] J. Carroll,et al. K-means clustering in a low-dimensional Euclidean space , 1994 .
[19] Chris H. Q. Ding,et al. 2-Dimensional Singular Value Decomposition for 2D Maps and Images , 2005, SDM.
[20] Maurizio Vichi,et al. Three-Mode Component Analysis with Crisp or Fuzzy Partition of Units , 2005 .
[21] Tamara G. Kolda,et al. Orthogonal Tensor Decompositions , 2000, SIAM J. Matrix Anal. Appl..
[22] H. Kiers,et al. Factorial k-means analysis for two-way data , 2001 .
[23] Tamara G. Kolda,et al. Temporal Analysis of Semantic Graphs Using ASALSAN , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[24] Tao Li,et al. Document clustering via adaptive subspace iteration , 2004, SIGIR '04.
[25] Demetri Terzopoulos,et al. Multilinear Analysis of Image Ensembles: TensorFaces , 2002, ECCV.
[26] Inderjit S. Dhillon,et al. Information-theoretic co-clustering , 2003, KDD '03.
[27] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[28] Joydeep Ghosh,et al. Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..
[29] P. Paatero,et al. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values† , 1994 .
[30] Maurizio Vichi,et al. Two-mode multi-partitioning , 2008, Comput. Stat. Data Anal..
[31] Tao Li,et al. Clustering based on matrix approximation: a unifying view , 2008, Knowledge and Information Systems.
[32] Seungjin Choi,et al. Nonnegative Tucker Decomposition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Jianbo Shi,et al. Multiclass spectral clustering , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[34] Bülent Yener,et al. Unsupervised Multiway Data Analysis: A Literature Survey , 2009, IEEE Transactions on Knowledge and Data Engineering.
[35] Gene H. Golub,et al. Matrix computations , 1983 .
[36] Wray L. Buntine,et al. Is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction? , 2003, AISTATS.
[37] C. Eckart,et al. The approximation of one matrix by another of lower rank , 1936 .
[38] Bülent Yener,et al. Modeling and Multiway Analysis of Chatroom Tensors , 2005, ISI.
[39] Erkki Oja,et al. Independent Component Analysis , 2001 .
[40] Chris H. Q. Ding,et al. Convex and Semi-Nonnegative Matrix Factorizations , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[41] Chris H. Q. Ding,et al. Orthogonal nonnegative matrix t-factorizations for clustering , 2006, KDD '06.
[42] Michael E. Tipping,et al. Probabilistic Principal Component Analysis , 1999 .
[43] Gene H. Golub,et al. Matrix computations (3rd ed.) , 1996 .
[44] Wojtek J. Krzanowski,et al. Projection Pursuit Clustering for Exploratory Data Analysis , 2003 .
[45] Max Welling,et al. Positive tensor factorization , 2001, Pattern Recognit. Lett..
[46] Inderjit S. Dhillon,et al. Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data , 2004, SDM.
[47] Maurizio Vichi,et al. Simultaneous Component and Clustering Models for Three-way Data: Within and Between Approaches , 2007, J. Classif..
[48] Joos Vandewalle,et al. A Multilinear Singular Value Decomposition , 2000, SIAM J. Matrix Anal. Appl..
[49] Wei Peng,et al. On the equivalence between nonnegative tensor factorization and tensorial probabilistic latent semantic analysis , 2010, Applied Intelligence.
[50] Brett W. Bader,et al. The TOPHITS Model for Higher-Order Web Link Analysis∗ , 2006 .
[51] L. Tucker,et al. Some mathematical notes on three-mode factor analysis , 1966, Psychometrika.
[52] Harold A. Edgerton,et al. The method of minimum variation for the combination of criteria , 1936 .
[53] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .