Weighted clustering ensembles

Proceedings of the Sixth SIAM International Conference on Data Mining

Volumn 2006, Issue , 2006, Pages 258-269

  Al Razgan, Muna ^a   Domeniconi, Carlotta ^a  

^a George Mason University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA PROCESSING; DISTRIBUTED COMPUTER SYSTEMS; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS); VECTORS;

CLUSTERING ENSEMBLES; INPUT CLUSTERINGS; MULTIPLE WEIGHTED CLUSTERS; SPURIOUS STRUCTURES;

DATA MINING;

EID: 33745445856     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972764.23     Document Type: Conference Paper

References (16)

1. H. Ayad and M. Kamel. Finding natural clusters using multi-clusterer combiner based on shared nearest neighbors. Multiple Classifier Systems, Fourth International Workshop, 2003.
2. C. Boulis and M. Ostendorf. Combining multiple clustering systems. Principles and Practice of Knowledge Discovery in Databases, 2004.
3. J. Demsar, B. Zupan, G. Leban. Orange: From Experimental Machine Learning to Interactive Data Mining. White Paper (www.ailab.si/orange), Faculty of Computer and Information Science, University of Ljubljana, 2004.
4. I. S. Dhillon. Co-clustering documents and words using bipartite spectral graph partitioning. ACM International Conference on Knowledge Discovery and Data Mining, 2001.
5. C. Domeniconi, D. Papadopoulos, D. Gunopulos, and S. Ma. Subspace clustering of high dimensional data. SIAM International Conference on Data Mining, 2004.
6. X. Z. Fern and C. E.Brodley. Random projection for high dimensional data clustering: A cluster ensemble approach. International Conference on Machine Learning, 2003.
7. X. Z. Fern and C. E.Brodley. Solving Cluster Ensemble Problems by Bipartite Graph Partitioning. International Conference on Machine Learning, 2004.
8. A. Fred and A. Jain. Data clustering using evidence accumulation. International Conference on Pattern Recognition, 2002.
9. A. Gionis, H. Mannila, and P. Tsaparas. Clustering aggregation. International Conference on Data Engineering, 2005.
10. D. Greene, A. Tsymbal, N. Bolshakova, and P. Cunningham. Ensemble clustering in medical diagnostics. IEEE Symposium on Computer-Based Medical Systems, 2004.
11. X. Hu. Integration of cluster ensemble and text summarization for gene expression analysis. Symposium on Bioinformatics and Bioengineering, 2004.
12. G. Kharypis and V. Kumar. Multilevel k-way partitioning scheme for irregular graphs. Technical report, University of Minnesota Department of Computer Science and Army HPC Research Center, 1995.
13. L. Kuncheva and S. Hadjitodorov. Using diversity in cluster ensembles. International Conference on Systems, Man and Cybernetics, 2004.
14. L. Parsons, E. Haque, and H. Liu. Subspace clustering for high dimensional data: a review. SIGKDD Explor. Newsl., 6(1):90-105, 2004.
15. A. Strehl and J. Ghosh. Cluster ensembles - a knowledge reuse framework for combining multiple partitions. J. Mach. Learn. Res., 3:583-617, 2003.
16. Y. Zeng, J. Tang, J. Garcia-Frias, and G. R. Gao. An adaptive meta-clustering approach: Combining the information from different clustering results. Computational Systems Bioinfonnatics Conference, 2002.