Kernel neural gas algorithms with application to cluster analysis

Proceedings - International Conference on Pattern Recognition

Volumn 4, Issue , 2004, Pages 617-620

  Qin, A K ^a   Suganthan, P N ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; COST FUNCTIONS; DATASETS; KERNEL NEURAL GAS (KNG);

ALGORITHMS; DATA REDUCTION; DATA STRUCTURES; FUNCTIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR SYSTEMS; VECTORS;

GAS FUEL ANALYSIS;

EID: 10044243405     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1333848     Document Type: Conference Paper

References (9)

1. A. K. Jain, M. Murty, P. Flynn, "Data clustering: a review," ACM Comput. Surveys, vol. 31, no. 3, pp.264-323, 1999.
2. K. R. Müller, S. Mika, G. Rätsch, et al., "An Introduction to kernel-based learning algorithms," IEEE Trans. on Neural Networks, vol. 12, pp. 181-201, 2001.
3. Z. D. Wu, W. X. Xie, J. P. Yu, "Fuzzy c-means clustering algorithm based on kernel method," Proc. of 5th Int. Conf. Computational Intelligence and Multimedia Applications, pp. 49-54, Xi'an China, Sept. 2003.
4. M. Girolami, "Mercer kernel based clustering in feature space, " IEEE Trans. on Neural Networks, vol. 13, pp 780-784, 2002.
5. S. V. N. Vishwanathan, M. N. Murty, "Kernel enabled k-means algorithm," TR, Indian Institute of Science, July 2002,
6. D. MacDonald, C. Fyfe, "The kernel self organizing map," Proc. of Int. Con. Knowledge-Based Intelligent Eng. Sys. & Applied Technologies, Brighton, UK, Aug. 2000.
7. T. M. Martinetz, S. G. Berkovich, K. J. Schulten, "Neural gas network for vector quantization and its application to time-series prediction," IEEE Trans. on Neural Networks, vol. 4, pp. 558-569, July 1993.
8. P. S. Bradley, U. M. Fayyad, "Refining initial points for k-means clustering," Proc. of 15th Int. Conf. Machine Learning, San Francisco, CA, pp. 91-99, 1998.
9. C. S. T. Choy, W. C. Siu, "Distortion sensitive competitive learning for vector quantizer design," IEEE ICASSP-97, vol. 4, pp. 34053408, Munich, Germany, April 1997.