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MC-SC2 Publications about: unsupervised learning
Articles in journal or book chapters
  1. K. Doherty, R. Adams, and N. Davey. Unsupervised learning with normalised data and non-Euclidean norms. Applied Soft Computing, 2006. Note: In Press. Keyword(s): distance measures, data normalisation, unsupervised learning, neural gas, growing neural gas, self-organising map, k-means. [bibtex-entry]

  2. D. Modha and W. Spangler. Feature weighting in k-means clustering. Machine Learning, 52(3):217-237, 2003. Keyword(s): clustering, convexity, convex k-means algorithm, feature combination, feature selection, Fisher’s discriminant analysis, text mining, unsupervised learning. [bibtex-entry]

  3. F. Von Zuben and L.C.T. Gomes. Multiple criteria optimization based on unsupervised learning and fuzzy inference applied to the vehicle routing problem. Journal of Intelligent & Fuzzy Systems, 13(2-4):143-154, 2003. Keyword(s): mathematical optimization, multiple criteria decision making, fuzzy systems, routing- machines, system analysis. [bibtex-entry]

  4. Y.-S. Kim, W. Street, and F. Menczer. Evolutionary model selection in unsupervised learning. Intelligent Data Analysis, 6(6):531-558, 2002. Keyword(s): information storage & retrieval systems, evolutionary programming (computer science), heuristic programming. [bibtex-entry]

  5. 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]



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Last modified: Fri Dec 15 07:05:48 2006
Author: Juscelino Dias.

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