A Hybrid K-Means Hierarchical Algorithm for Natural Disaster Mitigation Clustering
Cluster methods such as k-means have been widely used to group areas with a relatively equal number of disasters to determine areas prone to natural disasters. Nevertheless, it is difficult to obtain a homogeneous clustering result of the k-means method because this method is sensitive to a random s...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
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Universiti Utara Malaysia Press
2022
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Online Access: | https://repo.uum.edu.my/id/eprint/28802/1/JICT%2021%2002%202022%20175-200.pdf https://doi.org/10.32890/jict2022.21.2.2 https://repo.uum.edu.my/id/eprint/28802/ https://e-journal.uum.edu.my/index.php/jict/article/view/15423 https://doi.org/10.32890/jict2022.21.2.2 |
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Institution: | Universiti Utara Malaysia |
Language: | English |