Joint cluster based co-clustering for clustering ensembles

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4093 LNAI, Issue , 2006, Pages 284-295

  Hu, Tianming ^a   Liu, Liping ^a   Qu, Chao ^a   Sung, Sam Yuan ^b  

^a DONGGUAN UNIVERSITY OF TECHNOLOGY   (China)

^b South Texas College   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPH THEORY; MATHEMATICAL MODELS; PROBLEM SOLVING; ARTIFICIAL INTELLIGENCE; COMPUTERS;

CLUSTERING ENSEMBLES; CO-CLUSTERING; GRAPH FORMULATIONS; CLUSTER-BASED; CLUSTERING ENSEMBLE; MULTIPLE CLUSTERINGS; TWO-GRAPHS;

DATA REDUCTION; DATA MINING;

EID: 33749410258     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (24)

1. Fred, A., Jain, A.K.: Combining multiple clustering using evidence accumulation. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(6) (2005) 835-850
2. Topchy, A., Jain, A.K., Punch, W.: Clustering ensembles: Models of consensus and weak partitions. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(12) (2005) 1866-1881
3. Zhou, Z.H., Tang, W.: Clusterer ensemble. Knowledge-Based Systems 19(1) (2006) 77-83
4. Dietterich, T.G.: Ensemble methods in machine learning. In: Proceedings of the 2nd International Workshop on Multiple Classifier Systems. (2001) 1-15
5. Ghosh, J.: Multiclassifier systems: Back to the future. In: Proceedings of the 3rd International Workshop on Multiple Classifier Systems. (2002) 1-15
6. Barthelemy, J.P., Leclerc, B.: The median procedure for partition. DIMACS Series in Discrete Mathematics and Theoretical Computer Science 19 (1995) 3-33
7. Strehl, A., Ghosh, J.: Cluster ensembles - a knowledge reuse framework for combining multiple partitions. Journal of Machine Learning Research 3 (2002) 583-617
8. Topchy, A., Jain, A.K., Punch, W.: Combining multiple weak clusterings. In: Proceedings of the IEEE International Conference on Data Mining. (2003) 331-338
9. Dudoit, S., Fridlyand, J.: Bagging to improve the accuracy of a clustering procedure. Bioinformatics 19(9) (2003) 1090-1099
10. Topchy, A., Law, M.H., Jain, A.K., Fred, A.: Analysis of consensus partition in cluster ensemble. In: Proceedings of The 4th IEEE International Conference on Data Mining. (2004) 225-232
11. Kargupta, H., Huang, W., Johnson, E.: Distributed clustering using collective principal component analysis. Knowledge and Information Systems Journal 3 (2001) 422-448
12. Topchy, A., Minaei, B., Jain, A., Punch, W.: Adaptive clustering ensembles. In: Proceedings of the International Conference on Pattern Recognition. (2004) 272-275
13. Topchy, A., Jain, A.K., Punch, W.: A mixture model of clustering ensembles. In: Proceedings of the 4th SIAM International Conference on Data Mining. (2004)
14. Mirkin, B.: Reinterpreting the category utility function. Machine Learning 45(2) (2001) 219-228
15. Karypis, G., Aggarwal, R., Kumar, V., Shekhar, S.: Multilevel hypergraph partitioning: Applications in VLSI domain. In: Proceedings of the 34th Conference on Design Automation. (1997) 526-529
16. Shi, J., Malik, J.: Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (2000) 888-905
17. Hagen, L., Kahng, A.: New spectral methods for ratio cut partitioning and clustering. IEEE Transactions on CAD 11 (1992) 1074-1085
18. Karypis, G., Kumar, V.: A fast and high quality multilevel scheme for partitioning irregular graphs. SIAM Journal on Scientific Computing 20(1) (1998) 359-392
19. Barnard, S.T., Simon, H.D.: A fast multilevel implementation of recursive spectral bisection for partitioning unstructured problems. In: Proceedings of the 6th SIAM Conference on Parallel Processing for Scientific Computing. (1993) 711-718
20. Dhillon, I.S.: Co-clustering documents and words using bipartite spectral graph partitioning. In: Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. (2001) 269-274
21. Sun, J., Qu, H., Chakrabarti, D., Faloutsos, C.: Relevance search and anomaly detection in bipartite graphs. ACM SIGKDD Explorations 7(2) (2005) 48-55
22. Zhang, Y., Chu, C.H., Ji, X., Zha, H.: Correlating summarization of multisource news with k-way graph bi-clustering. ACM SIGKDD Explorations 6(2) (2004) 34-42
23. Jain, A., Dubes, R.: Algorithms for Clustering Data. Prentice Hall (1988)
24. Newman, D.J., Hettich, S., Blake, C.L., Merz, C.J.: UCI repository of machine learning databases. http://www.ics.uci.edu/~mlearn/MLRepository.html (1998)