An improved pheromone-based kohonen self-organising map in clustering and visualising balanced and imbalanced datasets

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An improved pheromone-based kohonen self-organising map in clustering and visualising balanced and imbalanced datasets

The data distribution issue remains an unsolved clustering problem in data mining, especially in dealing with imbalanced datasets. The Kohonen Self-Organising Map (KSOM) is one of the well-known clustering algorithms that can solve various problems without a pre-defined number of clusters. However,...

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Bibliographic Details
Main Authors:	Azlin, Ahmad, Rubiyah, Yusof, Nor Saradatul Akmar, Zulkifli, Mohd Najib, Ismail
Format:	Article
Language:	English
Published:	Universiti Utara Malaysia Press 2021
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/32664/ http://umpir.ump.edu.my/id/eprint/32664/1/An%20improved%20pheromone-based%20kohonen%20self-%20organising%20map.pdf

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