Heuristic Clustering Algorithms

Author:

M. Bagirov Adil,Karmitsa Napsu,Taheri Sona

Publisher

Springer International Publishing

Reference72 articles.

1. Aggarwal, C.C., Hinneburg, A., Keim, D.: On the surprising behavior of distance metrics in high dimensional space. In: ICDT ’01 Proceedings of the 8th International Conference on Database Theory, pp. 420–434 (2001)

2. Al-Daoud, M.B., Roberts, S.A.: New methods for the initialisation of clusters. Pattern Recogn. Lett. 17(5), 451–455 (1996)

3. Aloise, D., Deshpande, A., Hansen, P., Popat, P.: NP-hardness of Euclidean sum-of-squares clustering. Mach. Learn. 75(2), 245–248 (2009)

4. Anderberg, M.R.: Cluster Analysis for Applications. Academic, New York, NY (1973)

5. Arthur, D., Vassilvitskii, S.: k-means++: the advantages of careful seeding. In: Bansal, N., Pruhs, K., Stein, C. (eds.) SODA ’07 Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1027–1035 (2007)

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