Fast emulation of self-organizing maps for large datasets
© 2015 The Authors. Published by Elsevier B.V. The self-organizing map (SOM) methodology does vector quantization and clustering on the dataset, and then projects the obtained clusters to a lower dimensional space, such as a 2D map, by positioning similar clusters in locations that are spatially clo...
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Main Authors: | Cordel, Macario O., Azcarraga, Arnulfo P. |
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Format: | text |
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Animo Repository
2015
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Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/764 |
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Institution: | De La Salle University |
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