Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 8
Articles | Volume 16, issue 8
https://doi.org/10.5194/gmd-16-2215-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-2215-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 8
Model description paper
 | 
24 Apr 2023
Model description paper |  | 24 Apr 2023

Structural k-means (S k-means) and clustering uncertainty evaluation framework (CUEF) for mining climate data

Quang-Van Doan, Toshiyuki Amagasa, Thanh-Ha Pham, Takuto Sato, Fei Chen, and Hiroyuki Kusaka

Viewed

Total article views: 2,961 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,085 796 80 2,961 191 68 67
  • HTML: 2,085
  • PDF: 796
  • XML: 80
  • Total: 2,961
  • Supplement: 191
  • BibTeX: 68
  • EndNote: 67
Views and downloads (calculated since 07 Sep 2022)
Cumulative views and downloads (calculated since 07 Sep 2022)

Viewed (geographical distribution)

Total article views: 2,961 (including HTML, PDF, and XML) Thereof 2,839 with geography defined and 122 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 May 2025
Download
Short summary
This study proposes (i) the structural k-means (S k-means) algorithm for clustering spatiotemporally structured climate data and (ii) the clustering uncertainty evaluation framework (CUEF) based on the mutual-information concept.
Read more
Share