Evolutionary spectral co-clustering

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2011, Pages 1074-1081

  Green, Nathan ^a   Rege, Manjeet ^a   Liu, Xumin ^a   Bailey, Reynold ^a  

^a Rochester Institute of Technology   (United States)

Author keywords

clustering; co clustering; data mining; evolving data; spectral clustering

Indexed keywords

CLUSTERING; CLUSTERING QUALITY; CLUSTERING RESULTS; CO-CLUSTERING; DATA MATRICES; EVOLVING DATA; HISTORICAL RELATIONSHIPS; REAL WORLD DATA; SPECTRAL CLUSTERING; SUB-MATRICES; TIME STEP;

CLUSTERING ALGORITHMS; COST ACCOUNTING; MATRIX ALGEBRA; NEURAL NETWORKS;

COBALT COMPOUNDS;

EID: 80054773945     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2011.6033342     Document Type: Conference Paper

References (20)

1. A. K. Jain, M. N. Murty, and P. J. Flynn, "Data clustering: a review," ACM Comput. Surv., vol. 31, no. 3, pp. 264-323, 1999.
2. I. S. Dhillon, S. Mallela, and D. S. Modha, "Informationtheoretic co-clustering," in proc. of ACM KDD, 2003.
3. R. Cai, L. Lu, and A. Hanjalic, "Unsupervised content discovery in composite audio," in proc. of ACM MM, 2005.
4. A. Banerjee, I. Dhillon, J. Ghosh, S. Merugu, and D. S. Modha, "A generalized maximum entropy approach to bregman co-clustering and matrix approximation," Journal of Machine Learning Research, vol. 8, pp. 1919-1986, 2007.
5. T. George and S. Merugu, "A scalable collaborative filtering framework based on co-clustering," in proc. of IEEE ICDM, 2005.
6. N. Slonim and N. Tishby, "Document clustering using word clusters via the information bottleneck method," in proc. of ACM SIGIR, 2000, pp. 208-215.
7. B. Mandhani, S. Joshi, and K. Kummamuru, "A matrix density based algorithm to hierarchically co-cluster documents and words," in proc. of ACM WWW, 2003, pp. 511-518.
8. B. Long, Z. M. Zhang, and P. S. Yu, "Co-clustering by block value decomposition," in proc. of ACM KDD, 2005.
9. I. S. Dhillon, "Co-clustering documents and words using bipartite spectral graph partitioning," in proc. of ACM KDD, 2001.
10. H. Zha, X. He, C. H. Q. Ding, M. Gu, and H. D. Simon, "Bipartite graph partitioning and data clustering," in proc. of ACM CIKM, 2001.
11. M. Rege, M. Dong, and F. Fotouhi, "Co-clustering documents and words using bipartite isoperimetric graph partitioning," in proc. of IEEE ICDM, 2006.
12. D. Chakrabarti, R. Kumar, and A. Tomkins, "Evolutionary clustering," in proc. of ACM KDD, 2006.
13. Y. Chi, X. Song, D. Zhou, K. Hino, and B. L. Tseng, "Evolutionary spectral clustering by incorporating temporal smoothness," in proc. of ACM KDD, 2007.
14. W. Pedrycz and K.-C. Kwak, "The development of incremental models," IEEE Transactions on Fuzzy Systems, vol. 15, no. 3, pp. 507-518, June 2007.
15. C. Gupta and R. Grossman, "Genic: A single pass generalized incremental algorithm for clustering," in proc. of SDM, 2004.
16. S. Guha, N. Mishra, R. Motwani, and L. O'Callaghan, "Clustering data streams," in proc. of IEEE Symposium on Foundations of Computer Science, 2000.
17. M. Charikar, C. Chekuri, T. Feder, and R. Motwani, "Incremental clustering and dynamic information retrieval," in in proc. of the 29th STOC Conference, 1997.
18. Y. Li, J. Han, and J. Yang, "Clustering moving objects," in proc. of the 10th ACM SIGKDD Conference, 2004.
19. T. Zhang, R. Ramakrishnan, and M. Livny, "Birch: An efficient data clustering method for very large databases," in proc. of ACM ACM SIGMOD, 1996, pp. 103-114.
20. H. Ning, W. Xu, Y. Chi, Y. Gong, and T. Huang, "Incremental spectral clustering with application to monitoring of evolving blog communities," in proc. of SDM, 2007.