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Comparing performance of feedforward neural nets and K-means for cluster-based market segmentation

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  • Hruschka, Harald
  • Natter, Martin

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  • 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.
  • Handle: RePEc:eee:ejores:v:114:y:1999:i:2:p:346-353
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    References listed on IDEAS

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    1. 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;The Psychometric Society, vol. 59(4), pages 509-525, December.
    2. Balakrishnan, P. V. (Sundar) & Cooper, Martha C. & Jacob, Varghese S. & Lewis, Phillip A., 1996. "Comparative performance of the FSCL neural net and K-means algorithm for market segmentation," European Journal of Operational Research, Elsevier, vol. 93(2), pages 346-357, September.
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    Cited by:

    1. YongSeog Kim & W. Nick Street & Gary J. Russell & Filippo Menczer, 2005. "Customer Targeting: A Neural Network Approach Guided by Genetic Algorithms," Management Science, INFORMS, vol. 51(2), pages 264-276, February.
    2. repec:pal:jorsoc:v:60:y:2009:i:9:d:10.1057_palgrave.jors.2602646 is not listed on IDEAS
    3. repec:pal:jorsoc:v:55:y:2004:i:9:d:10.1057_palgrave.jors.2601732 is not listed on IDEAS
    4. Cristinel Constantin, 2012. "Post-Hoc Segmentation Using Marketing Research," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 12(3), pages 39-48.

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