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