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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| Authors: | Niels G Waller Heather A Kaiser Janine B Illian Mike Manry |
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| Institution: | (1) Department of Psychology, University of California, 95616 Davis, CA;(2) University of Duesseldorf, USA;(3) University of Texas at Arlington, USA |
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| 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. |
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| Keywords: | neural networks Kohonen models cluster analysis |
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