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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Bibliographic Details
Main Authors: Prasetyadi, Abdurrakhman, Nugroho, Budi, Tohari, Adrin
Format: Article
Language:English
Published: 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
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