Dynamic clustering using support vector learning with particle swarm optimization

Proceedings - 18th International Conference on Systems Engineering, IICSEng 2005

Volumn 2005, Issue , 2005, Pages 218-223

  Lin, Jiann Horng ^a   Cheng, Ting Yu ^a  

^a I SHOU UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC CLUSTERING; OPTIMIZATION PACKAGES; PARTICLE SWARM OPTIMIZATION; SUPPORT VECTOR CLUSTERING ALGORITHMS;

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; ELEMENTARY PARTICLES; OPTIMIZATION; PROBLEM SOLVING; QUADRATIC PROGRAMMING;

LEARNING SYSTEMS;

EID: 33845951464     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSENG.2005.38     Document Type: Conference Paper

References (7)

1. A. Ben-hur, D. Horn, H.T. Siegelmann, and V.N. Vapnik. Support vector clustering. Journal of Machine Learning Research, 2:125-137, 2001.
2. M. Clerc. The swarm and the queen: Toward a deterministic and adaptive particle swarm optimization. In IEEE International Congress on Evolutionary Computation, page 1957, 1909.
3. M. Clerc and J. Kennedy. The particle swarm - explosion, stabilityand convergence in a multi-dimensional complex space. IEEE Trans. Evolutionary Computation, 6:58-73, 2002.
4. C. Cortes and V. N. Vapnik. Support vector networks. Machine Learning, 20:1-25, 1995.
5. J.Kennedy and R. Eberhart. Particle swarm optimization. In IEEE International Conference on Neural Networks, pages 1942-1948, 1995.
6. V.N. Vapnik. The Nature of Statistical Learning Theory, John Wiley and Sons, New York, 1995.
7. V.N. Vapnik. Statistical Learning Theory. Wiley, Chichestor, UK, 1998.