
This Article  
 
Share  
Bibliographic References  
Add to:  
Digg Furl Spurl Blink Simpy Del.icio.us Y!MyWeb  
Search  
 
ASCII Text  x  
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Ding, "LowRank Kernel Matrix Factorization for LargeScale Evolutionary Clustering," IEEE Transactions on Knowledge and Data Engineering, vol. 24, no. 6, pp. 10361050, June, 2012.  
BibTex  x  
@article{ 10.1109/TKDE.2010.258, author = {Lijun Wang and Manjeet Rege and Ming Dong and Yongsheng Ding}, title = {LowRank Kernel Matrix Factorization for LargeScale Evolutionary Clustering}, journal ={IEEE Transactions on Knowledge and Data Engineering}, volume = {24}, number = {6}, issn = {10414347}, year = {2012}, pages = {10361050}, doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2010.258}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
RefWorks Procite/RefMan/Endnote  x  
TY  JOUR JO  IEEE Transactions on Knowledge and Data Engineering TI  LowRank Kernel Matrix Factorization for LargeScale Evolutionary Clustering IS  6 SN  10414347 SP1036 EP1050 EPD  10361050 A1  Lijun Wang, A1  Manjeet Rege, A1  Ming Dong, A1  Yongsheng Ding, PY  2012 KW  Clustering KW  lowrank matrix approximation KW  matrix decomposition. VL  24 JA  IEEE Transactions on Knowledge and Data Engineering ER   
[1] A.K. Jain, M.N. Murty, and P.J. Flynn, "Data Clustering: A Review," ACM Computing Surveys, vol. 31, pp. 264323, 1999.
[2] R.O. Duda, P.E. Hart, and D.G. Stork, Pattern Classification, second ed. WileyInterscience, 2001.
[3] N. Bouguila and D. Ziou, "HighDimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 29, no. 10, pp. 17161731, Oct. 2007.
[4] M. Bouguessa and S. Wang, "Mining Projected Clusters in HighDimensional Spaces," IEEE Trans. Knowledge and Data Eng., vol. 21, no. 4, pp. 507522, Apr. 2009.
[5] D. Perera, J. Kay, I. Koprinska, K. Yacef, and O.R. Zaiane, "Clustering and Sequential Pattern Mining of Online Collaborative Learning Data," IEEE Trans. Knowledge and Data Eng., vol. 21, no. 6, pp. 759772, June 2009.
[6] S. Marinai, E. Marino, and G. Soda, "Font Adaptive Word Indexing of Modern Printed Documents," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 28, no. 8, pp. 11871199, Aug. 2006.
[7] M. Bulacu and L. Schomaker, "TextIndependent Writer Identification and Verification Using Textural and Allographic Features," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 29, no. 4, pp. 701717, Apr. 2007.
[8] L. Jing, M.K. Ng, and J.Z. Huang, "An Entropy Weighting KMeans Algorithm for Subspace Clustering of HighDimensional Sparse Data," IEEE Trans. Knowledge and Data Eng., vol. 19, no. 8, pp. 10261041, Aug. 2007.
[9] K.M. Hammouda and M.S. Kamel, "Hierarchically Distributed PeertoPeer Document Clustering and Cluster Summarization," IEEE Trans. Knowledge and Data Eng., vol. 21, no. 5, pp. 681698, May 2009.
[10] N.K. Papadakis, D. Skoutas, K. Raftopoulos, and T.A. Varvarigou, "Stavies: A System for Information Extraction from Unknown Web Data Sources through Automatic Web Wrapper Generation Using Clustering Techniques," IEEE Trans. Knowledge and Data Eng., vol. 17, no. 12, pp. 16381652, Dec. 2005.
[11] S.G. Petridou, V.A. Koutsonikola, A.I. Vakali, and G.I. Papadimitriou, "TimeAware Web Users' Clustering," IEEE Trans. Knowledge and Data Eng., vol. 20, no. 5, pp. 653667, May 2008.
[12] G.J. Bloy, "Blind Camera Fingerprinting and Image Clustering," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 30, no. 3, pp. 532534, Mar. 2008.
[13] M. Rege, M. Dong, and J. Hua, "Graph Theoretical Framework for Simultaneously Integrating Visual and Textual Features for Efficient Web Image Clustering," Proc. 17th Int'l Conf. World Wide Web, pp. 317326, 2008.
[14] J. Shi and J. Malik, "Normalized Cuts and Image Segmentation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 8, pp. 888905, Aug. 2000.
[15] I.S. Dhillon, Y. Guan, and B. Kulis, "Weighted Graph Cuts without Eigenvectors a Multilevel Approach," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 29, no. 11, pp. 19441957, Nov. 2007.
[16] M. Vignes and F. Forbes, "Gene Clustering via Integrated Markov Models Combining Individual and Pairwise Features," IEEE/ACM Trans. Computational Biology and Bioinformatics, vol. 6, no. 2, pp. 260270, Apr.June 2009.
[17] P.C.H. Ma and K.C.C. Chan, "A Novel Approach for Discovering Overlapping Clusters in Gene Expression Data," IEEE Trans. Biomedical Eng., vol. 56, no. 7, pp. 18031809, July 2009.
[18] N. Du, B. Wu, X. Pei, B. Wang, and L. Xu, "Community Detection in LargeScale Social Networks," Proc. Ninth WebKDD and First SNAKDD 2007 Workshop Web Mining and Social Network Analysis, pp. 1625, 2007.
[19] J. Ruan and W. Zhang, "An Efficient Spectral Algorithm for Network Community Discovery and Its Applications on Biological and Social Networks," Proc. IEEE Int'l Conf. Data Mining, pp. 643648, 2007.
[20] D. Chakrabarti, R. Kumar, and A. Tomkins, "Evolutionary Clustering," Proc. 12th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, pp. 554560, 2006.
[21] Y. Chi, X. Song, D. Zhou, K. Hino, and B.L. Tseng, "Evolutionary Spectral Clustering by Incorporating Temporal Smoothness," Proc. 13th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, pp. 153162, 2007.
[22] H. Prehn and G. Sommer, "An Adaptive Classification Algorithm Using Robust Incremental Clustering," Proc. 18th Int'l Conf. Pattern Recognition, vol. 1, pp. 896899, 2006.
[23] W. Pedrycz and K.C. Kwak, "The Development of Incremental Models," IEEE Trans. Fuzzy Systems, vol. 15, no. 3, pp. 507518, June 2007.
[24] Z. Lu and M.A. CarreiraPerpinan, "Constrained Spectral Clustering through Affinity Propagation," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 18, June 2008.
[25] P.K. Mallapragada, R. Jin, and A.K. Jain, "Active Query Selection for SemiSupervised Clustering," Proc. 19th Int'l Conf. Pattern Recognition, pp. 14, Dec. 2008.
[26] C. Gupta and R. Grossman, "Genic: A Single Pass Generalized Incremental Algorithm for Clustering," Proc. SIAM Int'l Conf. Data Mining, pp. 147153, 2004.
[27] S. Guha, N. Mishra, R. Motwani, and L. OCallaghan, "Clustering Data Streams: Theory and Practice," IEEE Trans. Knowledge and Data Eng., vol. 15, no. 3, pp. 515528, May/June 2003.
[28] M. Charikar, C. Chekuri, T. Feder, and R. Motwani, "Incremental Clustering and Dynamic Information Retrieval," Proc. 29th Ann. ACM Symp. Theory of Computing (STOC), pp. 626635, 1997.
[29] Y. Li, J. Han, and J. Yang, "Clustering Moving Objects," Proc. 10th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, pp. 617622, 2004.
[30] T. Zhang, R. Ramakrishnan, and M. Livny, "Birch: An Efficient Data Clustering Method for Very Large Databases," Proc. ACM SIGMOD Int'l Conf. Management of Data, pp. 103114, 1996.
[31] H. Ning, W. Xu, Y. Chi, Y. Gong, and T. Huang, "Incremental Spectral Clustering with Application to Monitoring of Evolving Blog Communities," Proc. SIAM Int'l Conf. Data Mining, pp. 261272, 2007.
[32] K. Wagstaff, C. Cardie, S. Rogers, and S. Schroedl, "Constrained kMeans Clustering with Background Knowledge," Proc. Int'l Conf. Machine Learning (ICML), pp. 577584, 2001.
[33] Y. Chen, M. Rege, M. Dong, and J. Hua, "Incorporating User Provided Constraints into Document Clustering," Proc. IEEE Int'l Conf. Data Mining (ICDM), pp. 103112, 2007.
[34] X. Ji and W. Xu, "Document Clustering with Prior Knowledge," Proc. ACM Ann. Int'l SIGIR Conf. Research and Development in Information Retrieval (SIGIR), pp. 405412, 2006.
[35] G.H. Golub and C.F. Van Loan, Matrix Computations, third ed. Johns Hopkins Univ. Press, 1996.
[36] D.D. Lee and H.S. Seung, "Learning the Parts of Objects by NonNegative Matrix Factorization.," Nature, vol. 401, no. 6755, pp. 788791, Oct. 1999.
[37] D.D. Lee and H.S. Seung, "Algorithms for NonNegative Matrix Factorization," Advances in Neural Information Processing Systems 13, pp. 556562, MIT Press, 2001.
[38] T. Li and C. Ding, "The Relationships among Various Nonnegative Matrix Factorization Methods for Clustering," Proc. IEEE Int'l Conf. Data Mining, pp. 362371, 2006.
[39] C. Ding, X. He, and H.D. Simon, "On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering," Proc. SIAM Int'l Conf. Data Mining, pp. 606610, 2005.
[40] P.O. Hoyer, "NonNegative Matrix Factorization with Sparseness Constraints," J. Machine Learning Research, vol. 5, pp. 14571469, 2004.
[41] C. Ding, T. Li, W. Peng, and H. Park, "Orthogonal Nonnegative Matrix TFactorizations for Clustering," Proc. 12th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, pp. 126135, 2006.
[42] C. Ding, T. Li, and M.I. Jordan, "Convex and SemiNonnegative Matrix Factorizations," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 32, no. 1, pp. 4555, Jan. 2010.
[43] D. Achlioptas and F. Mcsherry, "Fast Computation of LowRank Matrix Approximations," J. ACM, vol. 54, no. 2,article 9, 2007.
[44] M.W. Berry, S.A. Pulatova, and G.W. Stewart, "Algorithm 844: Computing Sparse ReducedRank Approximations to Sparse Matrices," ACM Trans. Math. Software, vol. 31, no. 2, pp. 252269, 2005.
[45] P. Drineas, R. Kannan, and M.W. Mahoney, "Fast Monte Carlo Algorithms for Matrices iii: Computing a Compressed Approximate Matrix Decomposition," SIAM J. Computing, vol. 36, pp. 184206, 2006.
[46] J. Sun, Y. Xie, H. Zhang, and C. Faloutsos, "Less is More: Sparse Graph Mining with Compact Matrix Decomposition," Statistical Analysis and Data Mining, vol. 1, no. 1, pp. 622, 2008.
[47] H. Tong, S. Papadimitriou, J. Sun, P.S. Yu, and C. Faloutsos, "Colibri: Fast Mining of Large Static and Dynamic Graphs," Proc. 14th ACM Int'l Conf. Knowledge Discovery and Data Mining, pp. 686694, 2008.
[48] A. Strehl, J. Ghosh, and C. Cardie, "Cluster Ensembles—A Knowledge Reuse Framework for Combining Multiple Partitions," J. Machine Learning Research, vol. 3, pp. 583617, 2002.
[49] B. Klimt and Y. Yang, "The Enron Corpus: A New Dataset for Email Classification Research," Proc. European Conf. Machine Learning, pp. 217226, 2004.
[50] M.F. Porter, "An Algorithm for Suffix Stripping," Program, vol. 14, no. 3, pp. 130137, 1980.