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MC-SC2 Publications about: cluster analysis
Articles in journal or book chapters
  1. 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]

  2. W.-J. Wang, Y.-X. Tan, J.-H. Jiang, J.-Z. Lu, G.-L. Shen, and R.-Q. Yu. Clustering based on kernel density estimation: nearest local maximum searching algorithm. Chemometrics and Intelligent Laboratory Systems, 72(1):1-8, 2004. Keyword(s): NLMSA, pattern recognition, cluster analysis, kernel density estimation, local optimization. [bibtex-entry]

  3. A. Cuevas, M. Febrero, and R. Fraiman. Cluster analysis: A further approach based on density estimation. Computational Statistics & Data Analysis, 36(4):441-459, 2001. Keyword(s): cluster algorithms, density estimates, smoothed bootstrap, level set estimation. [bibtex-entry]

  4. C. Guinot, J. Latreille, D. Malvy, P. Preziosi, P. Galan, S. Hercberg, and M. Tenenhaus. Use of multiple correspondence analysis and cluster analysis to study dietary behaviour: Food consumption questionnaire in the SU.VI.MAX. Cohort. European Journal of Epidemiology, 17:505-516, 2001. Keyword(s): cluster analysis, dietary patterns, food consumption habits, food frequency questionnaire, multiple correspondence analysis, nutritional epidemiology. [bibtex-entry]

  5. M. Vichi and H. Kiers. Factorial k-means analysis for two-way data. Computational Statistics & Data Analysis, 37(1):49-64, 2001. Keyword(s): cluster analysis, factorial model, tandem analysis, k-means algorithm. [bibtex-entry]

  6. A. Valls and V. Torra. Using classification as an aggregation tool in MCDM. Fuzzy Sets and Systems, 115(1):159-168, 2000. Keyword(s): decision making, multicriteria analysis, cluster analysis, aggregation operators. [bibtex-entry]

  7. V. Chepoi and D. Dumitrescu. Fuzzy clustering with structural constraints. Fuzzy Sets and Systems, 105:91-97, 1999. Keyword(s): cluster analysis, fuzzy n-means algorithm with structural constraints, multifacility location problem, structure graph. [bibtex-entry]

  8. H. Hruschka and M. Natter. Comparing performance of feedforward neural nets and k-means for cluster-based market segmentation. European Journal of Operational Research, 114(2):346-353, 1999. Keyword(s): neural networks, marketing, k-means, cluster analysis, market segmentation. [bibtex-entry]

  9. S. Ronen and O. Shenkar. Clustering countries on attitudinal dimensions: A review and synthesis. Academy of Management Review, 10(3):435-454, 1985. Keyword(s): cluster analysis, correlation (statistical), econometrics, random variables, research, statistics, quantitative research. [bibtex-entry]



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

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