Computational Intelligence in Clustering Algorithms, with Applications

Author

Rui Xu, Missouri University of Science and TechnologyFollow
Donald C. Wunsch, Missouri University of Science and TechnologyFollow

Editor(s)

Iske, A. and Levesley, J.

Abstract

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.

Recommended Citation

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

Department(s)

Electrical and Computer Engineering

International Standard Book Number (ISBN)

978-3540332831

Document Type

Book - Chapter

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2007 Springer Verlag (Germany), All rights reserved.

Publication Date

01 Jan 2007