Topchy A P, Jain A K, Punch W F. Combining Multiple Weak Clusterings // Proc of the 3rd IEEE International Conference on Data Mining. Melbourne, USA, 2003: 331-338
[2]
Fred A L N. Finding Consistent Clusters in Data Partitions // Proc of the 2nd International Workshop on Multiple Classifier Systems. Cambridge, UK, 2001: 309-318
[3]
Fred A L N, Jain A K. Data Clustering Using Evidence Accumulation // Proc of the 16th International Conference on Pattern Recognition. Québec, Canada, 2002, Ⅳ: 276-280
[4]
Strehl A, Ghosh J. Cluster Ensembles-A Knowledge Reuse Framework for Combining Multiple Partitions. Journal of Machine Learning Research, 2002, 3(3): 583-617
[5]
Dudoit S, Fridlyand J. Bagging to Improve the Accuracy of a Clustering Procedure. Bioinformatics, 2003, 19(9): 1090-1099
[6]
Law M H C, Topchy A P, Jain A K. Multiobjective Data Clustering // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington, USA, 2004, Ⅱ: 424-430
[7]
Fern X Z, Brodley C E. Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach // Proc of the 20th International Conference on Machine Learning. Washington, USA, 2003: 186-193
[8]
Topchy A, Jain A K, Punch W. Clustering Ensembles: Models of Consensus and Weak Partitions. IEEE Trans on Pattern Analysis and Machine Intelligence, 2005, 27(12): 1866-1881
[9]
Frossyniotis D, Likas A, Stafylopatis A. A Clustering Method Based on Boosting. Pattern Recognition Letters, 2004, 25(6): 641-654
Al-Razgan M, Domeniconi C. Weighted Clustering Ensembles // Proc of the 6th SIAM International Conference on Data Mining. Bethesda, USA, 2006: 24-35
[12]
Domeniconi C, Papadopoulos D, Gunopulos D, et al. Subspace Clustering of High Dimensional Data // Proc of the SIAM International Conference on Data Mining. Lake Buena Vista, USA, 2004: 58-62
[13]
Melvilie P, Mooney R J. Creating Diversity in Ensembles Using Artificial Data. Information Fusion, 2005, 6(1): 99-111
[14]
Karypis G, Kumar V. A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs. SIAM Journal on Scientific Computing, 1998, 20(1): 359-392
