Author:
Yu Jaehong,Zhong Hua,Kim Seoung Bum
Funder
Brain Korea PLUS
Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Science, ICT and Future Planning
Ministry of Trade, Industry & Energy under Industrial Technology Innovation Program
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Psychology (miscellaneous),Mathematics (miscellaneous)
Reference49 articles.
1. Andrews, J. L., & Mcnicholas, P. D. (2014). Variable selection for clustering and classification. Journal of Classification, 31(2), 136–153.
2. Arbelaitz, O., Gurrutxaga, I., Muguerrza, J., Pèrez, J. M., & Perona, I. (2013). An extensive comparative study of cluster validity indices. Pattern Recognition, 46(1), 243–256.
3. Arthur, D., and Vassilvitskii, S. (2007). “k-means++: the advantages of careful seeding”, in Proceedings of the 18th annual ACM-SIAM symposium on discrete algorithms, 2007, pp. 1027–1035.
4. Ayad, H. G., & Kamel, M. S. (2008). Cumulative voting consensus method for partitions with variable number of clusters. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(1), 160–173.
5. Boutsidis, C., Drineas, P., and Mahoney, M.W. (2009), “Unsupervised feature selection for the k-means clustering problem”, in Proceedings of the Advances in Neural Information Processing Systems, pp. 153–161.
Cited by
10 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