A new clustering ensemble framework

Communications in Computer and Information Science

Volumn 241 CCIS, Issue , 2011, Pages 216-224

  Alizadeh, Hosein ^a   Parvin, Hamid ^a   Moshki, Mohsen ^a   Minaei, Behrouz ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Cluster Evaluation; Clustering Ensemble; Stability Measure

Indexed keywords

CLUSTER EVALUATION; CLUSTER VALIDATION; CLUSTERING ENSEMBLE; DATA SETS; EMPIRICAL STUDIES; STABILITY MEASURE; VALIDATION CRITERIA;

INNOVATION;

EID: 83755181355     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-27337-7_19     Document Type: Conference Paper

References (16)

1. Ayad, H., Kamel, M.S.: Cumulative Voting Consensus Method for Partitions with a Variable Number of Clusters. IEEE Trans. on Pattern Analysis and Machine Intelligence 30(1), 160-173 (2008)
2. Bhatia, S.K., Deogun, J.S.: Conceptual Clustering in Information Retrieval. IEEE Trans. Systems, Man, and Cybernetics 28(3), 427-536 (1998)
3. Faceli, K., Marcilio, C.P., Souto, D.: Multi-objective Clustering Ensemble. In: Proceedings of the Sixth International Conference on Hybrid Intelligent Systems (HIS 2006) (2006)
4. Fern, X.Z., Lin, W.: Cluster Ensemble Selection. In: SIAM International Conference on Data Mining (SDM 2008) (2008)
5. Fred, A., Jain, A.K.: Data Clustering Using Evidence Accumulation. In: Proc. of the 16th Intl. Conf. on Pattern Recognition, ICPR 2002, Quebec City, pp. 276-280 (2002)
6. Fred, A., Jain, A.K.: Combining Multiple Clusterings Using Evidence Accumulation. IEEE Trans. on Pattern Analysis and Machine Intelligence 27(6), 835-850 (2005)
7. Fred, A., Jain, A.K.: Learning Pairwise Similarity for Data Clustering. In: Proc. of the 18th Int. Conf. on Pattern Recognition (ICPR 2006) (2006)
8. Fred, A., Lourenco, A.: Cluster Ensemble Methods: from Single Clusterings to Combined Solutions. SCI, vol. 126, pp. 3-30 (2008)
9. Frigui, H., Krishnapuram, R.: A Robust Competitive Clustering Algorithm with Applications in Computer Vision. IEEE Trans. Pattern Analysis and Machine Intelligence 21(5), 450-466 (1999)
10. Judd, D., Mckinley, P., Jain, A.K.: Large-Scale Parallel Data Clustering. IEEE Trans. Pattern Analysis and Machine Intelligence 19(2), 153-158 (1997)
11. Lange, T., Braun, M.L., Roth, V., Buhmann, J.M.: Stability-based model selection. In: Advances in Neural Information Processing Systems, vol. 15. MIT Press (2003)
12. Law, M.H.C., Topchy, A.P., Jain, A.K.: Multiobjective data clustering. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 424-430 (2004)
13. Newman, C.B.D.J., Hettich, S., Merz, C.: UCI repository of machine learning databases (1998), http://www.ics.uci.edu/~mlearn/MLSummary.html
14. Roth, V., Lange, T., Braun, M., Buhmann, J.: A Resampling Approach to Cluster Validation. In: Intl. Conf. on Computational Statistics, COMPSTAT (2002)
15. Strehl, A., Ghosh, J.: Cluster ensembles - a knowledge reuse framework for combining multiple partitions. Journal of Machine Learning Research 3, 583-617 (2002)
16. Parvin, H., Helmi, H., Minaei-Bidgoli, B., Alinejad, H., Shirgahi, H.: Linkage Learning Based on Differences in Local Optimums of Building Blocks with One Optima. International Journal of the Physical Sciences, IJPS, 3419-3425 (2011)