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

• Main Authors: Ahmad, Azlin, Yusof, Rubiyah, Zulkifli, Nor Saradatul Akma, Ismail, Mohd Najib
• Format: Article
• Language: English
• Published: Universiti Utara Malaysia Press 2021
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: https://repo.uum.edu.my/id/eprint/28765/1/JICT%2020%2004%202021%20651-676.pdf; https://doi.org/10.32890/jict2021.20.4.8; https://repo.uum.edu.my/id/eprint/28765/; https://e-journal.uum.edu.my/index.php/jict/article/view/13835; https://doi.org/10.32890/jict2021.20.4.8

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. Howeve...