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Consensus clustering for categorizing orthogonal vehicle operations
Keywords Data Mining, Machine Learning, Clustering, Unsupervised learning, knowledge discovery  +
Level Master  +
OneLineSummary Discovering multiple clustering solutions, compare them, and find out if there is a single best (consensus) clustering, or multiple consistent clustering solutions.  +
Prerequisites Data mining course.  +
References - Some slides: https://www.siam.org/meetin- Some slides: https://www.siam.org/meetings/sdm11/clustering.pdf - Muller, E., Gunnemann, S., Farber, I., & Seidl, T. (2012, April). Discovering multiple clustering solutions: Grouping objects in different views of the data. In Data Engineering (ICDE), 2012 IEEE 28th International Conference on (pp. 1207-1210). IEEE. - Hu, J., & Pei, J. (2017). Subspace multi-clustering: a review. Knowledge and Information Systems, 1-28. - Yang, S., & Zhang, L. (2017). Non-redundant multiple clustering by nonnegative matrix factorization. Machine Learning, 106(5), 695-712. - Dang, X. H., & Bailey, J. (2015). A framework to uncover multiple alternative clusterings. Machine Learning, 98(1-2), 7-30. - Gionis, A., Mannila, H., & Tsaparas, P. (2007). Clustering aggregation. ACM Transactions on Knowledge Discovery from Data (TKDD), 1(1), 4. - Qi, Z., & Davidson, I. (2009, June). A principled and flexible framework for finding alternative clusterings. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 717-726). ACM. - Muller, E., Gunnemann, S., Farber, I., & Seidl, T. (2012). Discovering multiple clustering solutions: Grouping objects in different views of the data. In IEEE 28th International Conference on Data Engineering (ICDE), (pp. 1207-1210). - Cui, Y., Fern, X. Z., & Dy, J. G. (2007). Non-redundant multi-view clustering via orthogonalization. In IEEE International Conference on Data Mining (ICDM), (pp. 133-142). - Strehl, A., & Ghosh, J. (2002). Cluster ensembles---a knowledge reuse framework for combining multiple partitions. Journal of machine learning research, pp. 583-617.of machine learning research, pp. 583-617.
StudentProjectStatus Finished  +
Supervisors Mohamed-Rafik Bouguelia + , Sławomir Nowaczyk +
ThesisAuthor Dirar Sweidan  +
Title Consensus clustering for categorizing orthogonal vehicle operations  +
Categories StudentProject  +
Modification dateThis property is a special property in this wiki. 14 October 2018 17:56:33  +
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