A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions

• Main Authors: Zun, Liang Chuan, Fam, Soo Fen, Wan Yusof, Wan Nur Syahidah, Senawi, Azlyna, Mohd Akramin, Mohd Romlay, Wendy, Ling Shinyie, Tan, Lit Ken
• Format: Article
• Language: English
• Published: Universiti Putra Malaysia Press 2022
• Online Access: http://eprints.utem.edu.my/id/eprint/26286/2/K2%20SCOPUS%20JOURNAL%20HIERARCHICAL%20AND%20NONHIERARCHICAL%20RAINFALL%2018%20JST-2029-2020.PDF; http://eprints.utem.edu.my/id/eprint/26286/; http://www.pertanika.upm.edu.my/resources/files/Pertanika%20PAPERS/JST%20Vol.%2030%20(1)%20Jan.%202022/18%20JST-2029-2020
• Institution: Universiti Teknikal Malaysia Melaka

Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. However, previous studies employed regionalisation algorithms, namely agglomerative hierarchical and non-hierarchical regionalisation algorithms...