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Proceedings Paper

Note on generalized self-organizing network algorithms
Author(s): James C. Bezdek
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Paper Abstract

In this note we identify some similarities and differences between two clustering models, viz., the fuzzy c-means (FCM) and Kohonen self-organizing (KSO) feature map approaches. This leads us to suggest that there is an important unknown relationship between the two methodologies. Consequently, we propose several avenues of research which, if successfully resolved, will strengthen both the FCM and Kohonen models and their utility for applications in clustering and classifier design.

Paper Details

Date Published: 1 January 1990
PDF: 8 pages
Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21076
Show Author Affiliations
James C. Bezdek, Univ. of West Florida (United States)


Published in SPIE Proceedings Vol. 1293:
Applications of Artificial Intelligence VIII
Mohan M. Trivedi, Editor(s)

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