A hybrid approach for regionalization of precipitation based on maximal discrete wavelet transform and growing neural gas network clustering

Xu Tao, Ma Ben, He Cao Yin Xuan, Ali Arshaghi

Open source

DOI
10.1038/s41598-025-24400-1
Published
2025-11-18
Container
Scientific Reports
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1038/s41598-025-24400-1,
  title = {A hybrid approach for regionalization of precipitation based on maximal discrete wavelet transform and growing neural gas network clustering},
  author = {Xu Tao and Ma Ben and He Cao Yin Xuan and Ali Arshaghi},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-24400-1},
  url = {https://doi.org/10.1038/s41598-025-24400-1}
}

RIS

TY  - JOUR
TI  - A hybrid approach for regionalization of precipitation based on maximal discrete wavelet transform and growing neural gas network clustering
AU  - Xu Tao
AU  - Ma Ben
AU  - He Cao Yin Xuan
AU  - Ali Arshaghi
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-24400-1
UR  - https://doi.org/10.1038/s41598-025-24400-1
ER  - 

APA

Tao, X., Ben, M., Xuan, H. C. Y., & Arshaghi, A. (2025). A hybrid approach for regionalization of precipitation based on maximal discrete wavelet transform and growing neural gas network clustering. Scientific Reports. https://doi.org/10.1038/s41598-025-24400-1

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