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...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IOP Publishing
2020
|
| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/29756/ |