Preserving the topology of self-organizing maps for data analysis: A review

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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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Bibliographic Details
Main Authors:	Bariah, Yusob, Zuriani, Mustaffa, Siti Mariyam, Shamsuddin
Format:	Conference or Workshop Item
Language:	English
Published:	IOP Publishing 2020
Subjects:	QA76 Computer software
Online Access:	https://umpir.ump.edu.my/id/eprint/29756/

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