Contraction Methods for Correlation Clustering: The Order is Important
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Publisher
Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-319-99648-6_1
Reference13 articles.
1. Aszalós, L., Bakó, M.: Advanced search methods (in Hungarian). http://www.tankonyvtar.hu/hu/tartalom/tamop412A/2011-0103_13_fejlett_keresoalgoritmusok (2012)
2. Aszalós, L., Bakó, M.: Correlation clustering: divide and conquer. In: Ganzha, M., Maciaszek, L., Paprzycki, M. (eds.) Position Papers of the 2016 Federated Conference on Computer Science and Information Systems, Annals of Computer Science and Information Systems, vol. 9, pp. 73–78. PTI (2016). https://doi.org/10.15439/2016F168
3. Aszalós, L., Mihálydeák, T.: Rough clustering generated by correlation clustering. In: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, pp. 315–324. Springer, Berlin, Heidelberg (2013). https://doi.org/10.1109/TKDE.2007.1061
4. Aszalós, L., Mihálydeák, T.: Rough classification based on correlation clustering. In: Rough Sets and Knowledge Technology, pp. 399–410. Springer (2014). https://doi.org/10.1007/978-3-319-11740-9_37
5. Aszalós, L., Mihálydeák, T.: Correlation clustering by contraction, a more effective method. In: Recent Advances in Computational Optimization, vol. 655, pp. 81–95. Springer (2016). https://doi.org/10.1007/978-3-319-40132-4_6
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