Abstract
We propose a novel method, called heterogeneous clustering ensemble (HCE), to generate robust clustering results that combine multiple partitions (clusters) derived from various clustering algorithms. The proposed method combines partitions of various clustering algorithms by means of newly-proposed the selection and the crossover operation of the genetic algorithm (GA) during the evolutionary process.
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Greene, D., Tsymbal, A., Bolshakova, N., Cunningham, P.: Ensemble clustering in medical diagnostics. In: Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems, pp. 576–581 (2004)
Yoon, H.-S., Ahn, S.-Y., Lee, S.-H., Cho, S.-B., Kim, J.H.: Heterogeneous Clustering Ensemble Method for Combining Different Cluster Results. In: Li, J., Yang, Q., Tan, A.-H. (eds.) BioDM 2006. LNCS (LNBI), vol. 3916, pp. 82–92. Springer, Heidelberg (2006)
Jouve, P.E., Nicoloyannis, N.: A new method for combining partitions, applications for distributed clustering. In: Proceedings of the International Workshop on Parallel and Distributed Machine Learning and Data Mining (2003)
Qiu, P., Wang, Z.J., Liu, K.J.: Ensemble dependence model for classification and prediction of cancer and normal gene expression data. Bioinformatics 21, 3114–3121 (2005)
Whistler, T., Unger, E.R., Nisenbaum, R., Vernon, S.D.: Integration of gene expression, clinical, and epidemiologic data to characterize Chronic Fatigue Syndrome. Journal of Translational Medicine 1 (2003)
Xiaohua, H.: Integration of cluster ensemble and text summarization for gene. In: Proceedings of the 4th IEEE Symposium on Bioinformatics and Bioengineering, pp. 251–258 (2004)
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© 2006 Springer-Verlag Berlin Heidelberg
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Yoon, HS., Lee, SH., Cho, SB., Kim, J.H. (2006). A Novel Framework for Discovering Robust Cluster Results. In: Todorovski, L., Lavrač, N., Jantke, K.P. (eds) Discovery Science. DS 2006. Lecture Notes in Computer Science(), vol 4265. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893318_45
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DOI: https://doi.org/10.1007/11893318_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46491-4
Online ISBN: 978-3-540-46493-8
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