Psychometrika

, Volume 63, Issue 1, pp 5–22

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

  • Niels G. Waller
  • Heather A. Kaiser
  • Janine B. Illian
  • Mike Manry
Article

Abstract

Neural Network models are commonly used for cluster analysis in engineering, computational neuroscience, and the biological sciences, although they are rarely used in the social sciences. In this study we compare the classification capabilities of the 1-dimensional Kohonen neural network with two partitioning (Hartigan and Späthk-means) and three hierarchical (Ward's, complete linkage, and average linkage) cluster methods in 2,580 data sets with known cluster structure. Overall, the performance of the Kohonen networks was similar to, or better than, the performance of the other methods.

Key words

neural networks Kohonen models cluster analysis 

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Copyright information

© The Psychometric Society 1998

Authors and Affiliations

  • Niels G. Waller
    • 1
  • Heather A. Kaiser
    • 1
  • Janine B. Illian
    • 2
  • Mike Manry
    • 3
  1. 1.Department of PsychologyUniversity of CaliforniaDavis
  2. 2.University of DuesseldorfUSA
  3. 3.University of Texas at ArlingtonUSA

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