A Hybrid K-Means Hierarchical Algorithm for Natural Disaster Mitigation Clustering

• Main Authors: Prasetyadi, Abdurrakhman, Nugroho, Budi, Tohari, Adrin
• Format: Article
• Language: English
• Published: Universiti Utara Malaysia Press 2022
• Subjects: T Technology (General)
• 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

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...