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A comparison of the classification capabilities of the 1-dimensional kohonen neural network with two pratitioning and three hierarchical cluster analysis algorithms


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  • Niels Waller


  • Heather Kaiser
  • Janine Illian
  • Mike Manry
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    No abstract is available for this item.

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    Bibliographic Info

    Article provided by Springer in its journal Psychometrika.

    Volume (Year): 63 (1998)
    Issue (Month): 1 (March)
    Pages: 5-22

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    Handle: RePEc:spr:psycho:v:63:y:1998:i:1:p:5-22

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    Keywords: neural networks; Kohonen models; cluster analysis;


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    1. Chen, S. K. & Mangiameli, P. & West, D., 1995. "The comparative ability of self-organizing neural networks to define cluster structure," Omega, Elsevier, vol. 23(3), pages 271-279, June.
    2. 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.
    3. Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of Classification, Springer, vol. 2(1), pages 193-218, December.
    4. Glenn Milligan, 1985. "An algorithm for generating artificial test clusters," Psychometrika, Springer, vol. 50(1), pages 123-127, March.
    5. F. Murtagh & M. Hernández-Pajares, 1995. "The Kohonen self-organizing map method: An assessment," Journal of Classification, Springer, vol. 12(2), pages 165-190, September.
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    Cited by:
    1. Curry, B. & Morgan, P. H., 2004. "Evaluating Kohonen's learning rule: An approach through genetic algorithms," European Journal of Operational Research, Elsevier, vol. 154(1), pages 191-205, April.


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