Preserving the topology of self-organizing maps for data analysis: A review
In Kohonen's Self-Organizing Maps (SOM) algorithm, preserving the map structure to represent the real input patterns appears to be a significant process. Misinterpretation of the training samples can lead to failure in identifying the important features that may affect the outcomes generated by...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
IOP Publishing
2020
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/29756/1/36.%20Preserving%20the%20Topology%20of%20Self-Organizing%20Maps%20for%20Data%20Analysis-%20A%20Review.pdf https://umpir.ump.edu.my/id/eprint/29756/ https://doi.org/10.1088/1757-899X/769/1/012004 |
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