An Improved Pheromone-Based Kohonen Self- Organising Map in Clustering and Visualising Balanced and Imbalanced Datasets

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: Rubiyah Yusof, Azlin Ahmad, Nor Saradatul Akmar Zulkifli, Mohd Najib Ismail
Format: Article
Language:English
Published: UUM Press 2021-09-01
Series:Journal of ICT
Subjects:
clustering
imbalanced data
kohonen self-organising map
optimisation
pheromone
Online Access:http://e-journal.uum.edu.my/index.php/jict/article/view/jict2021.20.4.8

Internet

http://e-journal.uum.edu.my/index.php/jict/article/view/jict2021.20.4.8

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