Author:
da Costa Anderson F. B. F.,Pimentel Bruno A.,de Souza Renata M. C. R.
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Reference31 articles.
1. Bock, H.H. (2002). Clustering algorithms and kohonen maps for symbolic data. In Proc. ICNCB, Osaka, J. Jpn. Soc. Comp. Statistic (Vol. 15, p. 113).
2. Celeux, G., Diday, E., Govaert, G., Lechevallier Y., Ralambondrainy, H. (1989). Classification Automatique des Données. Bordas, Paris.
3. Chavent, M., De Carvalho, F.A.T., Lechevallier, Y., Verde, R. (2006). New clustering methods for interval data. Computational Statistics, 21, 211230.
4. Costa, A.F.B.F., Pimentel, B.A., de Souza, R.M.C.R. (2010). K-means clustering for symbolic interval data based on aggregated kernel functions. In Proceedings of the 22nd IEEE international conference on tools with artificial intelligence, ICTAI 2010 (pp. 375–376).
5. Cristianini, N., & Shawe-Taylor, J. (2000). An introduction to support vector machines and other kernel-based learning methods. Cambridge, MA: Cambridge University Press.
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