Verifying the proximity and size hypothesis for self-organizing maps

Verifying the proximity and size hypothesis for self-organizing maps

Artificial Intelligence Lab, Department of MIS, University of Arizona === The Kohonen Self-Organizing Map (SOM) is an unsupervised learning technique for summarizing high-dimensional data so that similar inputs are, in general, mapped close to one another. When applied to textual data, SOM has been...

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Bibliographic Details
Main Authors: Lin, Chienting, Chen, Hsinchun, Nunamaker, Jay F.
Language:en
Published: M.E. Sharpe, Inc. 2000
Subjects:
Management Information Systems
Knowledge Management
Information Systems
Online Access:http://hdl.handle.net/10150/106111

Internet

http://hdl.handle.net/10150/106111

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