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Comparative performance of the FSCL neural net and K-means algorithm for market segmentation

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  • Balakrishnan, P. V. (Sundar)
  • Cooper, Martha C.
  • Jacob, Varghese S.
  • Lewis, Phillip A.
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    File URL: http://www.sciencedirect.com/science/article/B6VCT-3VV42N2-B/2/0ff91f73732259ad901581117334a2be
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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 93 (1996)
    Issue (Month): 2 (September)
    Pages: 346-357

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    Handle: RePEc:eee:ejores:v:93:y:1996:i:2:p:346-357

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    Web page: http://www.elsevier.com/locate/eor

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    1. Glenn Milligan & Martha Cooper, 1985. "An examination of procedures for determining the number of clusters in a data set," Psychometrika, Springer, vol. 50(2), pages 159-179, June.
    2. Glenn Milligan, 1985. "An algorithm for generating artificial test clusters," Psychometrika, Springer, vol. 50(1), pages 123-127, March.
    3. Glenn Milligan, 1980. "An examination of the effect of six types of error perturbation on fifteen clustering algorithms," Psychometrika, Springer, vol. 45(3), pages 325-342, September.
    4. P. (Sundar) Balakrishnan & Martha Cooper & Varghese Jacob & Phillip Lewis, 1994. "A study of the classification capabilities of neural networks using unsupervised learning: A comparison withK-means clustering," Psychometrika, Springer, vol. 59(4), pages 509-525, December.
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    Cited by:
    1. Ozer, Muammer, 2005. "Fuzzy c-means clustering and Internet portals: A case study," European Journal of Operational Research, Elsevier, vol. 164(3), pages 696-714, August.
    2. Hruschka, Harald & Natter, Martin, 1999. "Comparing performance of feedforward neural nets and K-means for cluster-based market segmentation," European Journal of Operational Research, Elsevier, vol. 114(2), pages 346-353, April.

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