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 predefined number of clusters. However, s...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Utara Malaysia Press
2021
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| Series: | Journal of Information and Communication Technology
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |