Publisher
Springer Science and Business Media LLC
Reference56 articles.
1. Aggarwal CC, Reddy CK (2014) Data custering algorithms and applications. CRC Press, Boca Raton
2. Aguirre JCR (2017) Clustering in high dimension for multivariate and functional data using extreme kurtosis projections. Universidad Carlos III de Madrid
3. Arthur D, Vassilvitskii S (2007) K-means++: the advantages of careful seeding. In: SODA ’07: Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms. ACM Digital Library, pp 1027–1035
4. Bianchi FM, Livi L, Rizzi A (2016) Two density-based k-means initialization algorithms for non-metric data clustering. Pattern Anal Appl 19:745–763. https://doi.org/10.1007/s10044-014-0440-4
5. Cao F, Liang J, Jiang G (2009) An initialization method for the k-means algorithm using neighborhood model. Comput Math with Appl 58:474–483. https://doi.org/10.1016/j.camwa.2009.04.017
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献