International Journal of Fuzzy Logic and Intelligent Systems

  • 제6권1호
  • /
  • Pages.10-14
  • /
  • 2006
  • /
  • 1598-2645(pISSN)
  • /
  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
권호 표지
DOI QR코드

DOI QR Code

An Optimal Clustering using Hybrid Self Organizing Map

  • Jun, Sung-Hae (Department of Bioinformatics & Statistics, Cheongju University)
  • 발행 : 2006.03.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Many clustering methods have been studied. For the most part of these methods may be needed to determine the number of clusters. But, there are few methods for determining the number of population clusters objectively. It is difficult to determine the cluster size. In general, the number of clusters is decided by subjectively prior knowledge. Because the results of clustering depend on the number of clusters, it must be determined seriously. In this paper, we propose an efficient method for determining the number of clusters using hybrid' self organizing map and new criterion for evaluating the clustering result. In the experiment, we verify our model to compare other clustering methods using the data sets from UCI machine learning repository.

키워드

참고문헌

  1. C. M. Bishop, M. Svensen, C. K. Williams, 'GTM: A Principled Alternative to the Self Organizing Map', Proceedings of ICANN 96, vol. 1112, pp. 165-170, 1996
  2. D. Dumitrescu, B. Zazzerini, L. C. Jain, Fuzzy Sets and Their Application to Clustering and Training, CRC Press, 2000
  3. A. Gelman, J. B. Carlin, H. S. Stern, D. B. Rudin, Bayesian Data Analysis, Chapman & Hill, 1995
  4. J. Han, M Kamber, Data Mining Concepts and Techniques, Morgan Kaufmann, 2001
  5. T. Kohonen, Self Organizing Maps, Second Edition, Springer, 1997
  6. R. M. Neal, Bayesian Learning for Neural Networks, Springer, 1996
  7. A. S. Pandya, R. B. Macy, Pattern Recognition with Neural Networks in C++, IEEE Press, 1995
  8. M. J. Park, S. H. Jun, K. W. Oh, 'Determination of Optimal Cluster Size Using Bootstrap and Genetic Algorithm', Journal of Fuzzy Logic and Intelligent Systems, vol. 13, no. 1, pp. 12-17, 2003
  9. M. A. Tanner, Tools for Statistical inference, Springer, 1996
  10. UCI Machine Learning Repository, ics.uci.edu/-mlearn
  11. A. Utsugi, 'Topology selection for self-organizing maps, Network', Computation in Neural Systems, vol. 7, no. 4, pp. 727-740, 1996 https://doi.org/10.1088/0954-898X/7/4/007
  12. A. Utsugi, 'Hyperparameter selection for self-organizing maps', Neural Computation, vol. 9, no. 3, pp. 623-635, 1997 https://doi.org/10.1162/neco.1997.9.3.623
  13. L. Zadeh, 'Fuzzy Sets', Information and Control, 1965
  14. H. J. Zimmermann, Fuzzy Set Theory and its Applications, Third Edition, 1996