Computational Intelligence in Clustering Algorithms, with Applications
Iske, A. and Levesley, J.
Cluster analysis plays an important role for understanding various phenomena and exploring the nature of obtained data. A remarkable diversity of ideas, in a wide range of disciplines, has been applied to clustering research. Here, we survey clustering algorithms in computational intelligence, particularly based on neural networks and kernel-based learning. We further illustrate their applications in five real world problems.
R. Xu and D. C. Wunsch, "Computational Intelligence in Clustering Algorithms, with Applications," Algorithms for Approximation: Proceedings of the 5th International Conference, Chester, July 2005, pp. 31 - 50, Springer Verlag (Germany), Jan 2007.
The definitive version is available at https://doi.org/10.1007/978-3-540-46551-5_3
Electrical and Computer Engineering
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© 2007 Springer Verlag (Germany), All rights reserved.
01 Jan 2007