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

• Main Authors: Chuan, Zun Liang, Wan Nur Syahidah, Wan Yusoff, Azlyna, Senawi, Mohd Akramin, Mohd Romlay, Fam, Soo-Fen, Shinyie, Wendy Ling, Ken, Tan Lit
• Format: Article
• Language: English
• Published: Universiti Putra Malaysia Press 2022
• Subjects: QA Mathematics; T Technology (General); TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery
• Online Access: http://umpir.ump.edu.my/id/eprint/34949/1/A%20comparative%20effectiveness%20of%20hierarchical%20and%20nonhierarchical%20regionalisation%20algorithms.pdf; http://umpir.ump.edu.my/id/eprint/34949/; https://doi.org/10.47836/PJST.30.1.18; https://doi.org/10.47836/PJST.30.1.18

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...