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MC-SC2 Publications about: clustering algorithm
Articles in journal or book chapters
  1. U. Gonzales-Barron and F. Butler. A comparison of seven thresholding techniques with the k-means clustering algorithm for measurement of bread-crumb features by digital image analysis. Journal of Food Engineering, 74(2):268-278, 2006. Keyword(s): image analysis, bread, thresholding, crumb features. [bibtex-entry]

  2. S. Mingoti and J. Lima. Comparing SOM neural network with fuzzy c-means, k-means and traditional hierarchical clustering algorithms. European Journal of Operational Research, 2006. Note: In Press. Keyword(s): multivariate statistics, hierarchical clustering, SOM neural network, fuzzy c-means, k- means. [bibtex-entry]

  3. L. Rueda and Y. Zhang. Geometric visualization of clusters obtained from fuzzy clustering algorithms. Pattern Recognition, 39(8):1415-1429, 2006. Keyword(s): fuzzy clustering, fuzzy a-means, cluster visualization, expectation maximization. [bibtex-entry]

  4. J. Tian, L. Zhu, S. Zhang, and L. Liu. Improvement and parallelism of k-means clustering algorithm. Tsinghua Science & Technology, 10(3):277-281, 2005. Keyword(s): data mining, cluster analysis, k-means algorithm, parallelism. [bibtex-entry]

  5. Y.-M. Cheung. K*-means: A new generalized k-means clustering algorithm. Pattern Recognition Letters, 24(15):2883-2893, 2003. Note: Short Communication. Keyword(s): clustering analysis, k-means algorithm, cluster number, rival penalization. [bibtex-entry]

  6. A. Likas, N. Vlassis, and J. Verbeek. The global k-means clustering algorithm. Pattern Recognition, 36(2):451-461, 2003. Keyword(s): clustering, k-means algorithm, global optimization, k-d trees, data mining. [bibtex-entry]

  7. A. Nola, V. Loia, and A. Staiano. An evolutionary approach to spatial fuzzy c-means clustering. Fuzzy Optimization and Decision Making, 1:195-219, 2002. Keyword(s): clustering algorithm, fuzzy c-means, fuzzy sets, genetic algorithm, Java language. [bibtex-entry]

  8. M. Vrahatis, B. Boutsinas, P. Alevizos, and G. Pavlides. The new k-windows algorithm for improving the k-means clustering algorithm. Journal of Complexity, 18(1):375-391, 2002. Keyword(s): k-means clustering algorithm, unsupervised learning, data mining, range search. [bibtex-entry]

  9. Y. Won and S. Kim. Multiple criteria clustering algorithm for solving the group technology problem with multiple process routings. Computers & Industrial Engineering, 32(1):207-220, 1997. [bibtex-entry]

Conference articles
  1. Y. Guan, A. Ghorbani, and N. Belacel. An unsupervised clustering algorithm for intrusion detection: Advances in artificial intelligence. In 16th Conference of the Canadian Society for Computational Studies of Intelligence, Ontario, Canada, pages 616-117, 2003. Halifax, Springer-Verlag. [bibtex-entry]



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Last modified: Fri Dec 15 07:05:47 2006
Author: Juscelino Dias.

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