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.
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.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
24 Apr 2023
Model description paper |
| 24 Apr 2023
| 24 Apr 2023
Structural k-means (S k-means) and clustering uncertainty evaluation framework (CUEF) for mining climate data
Quang-Van Doan
CORRESPONDING AUTHOR
Center for Computational Sciences, University of Tsukuba, Tsukuba, Japan
Toshiyuki Amagasa
Center for Computational Sciences, University of Tsukuba, Tsukuba, Japan
Thanh-Ha Pham
University of Science, Vietnam National University, Hanoi, Vietnam
Takuto Sato
Center for Computational Sciences, University of Tsukuba, Tsukuba, Japan
Fei Chen
Research Applications Laboratory, National Center for Atmospheric
Research, Boulder, USA
Hiroyuki Kusaka
Center for Computational Sciences, University of Tsukuba, Tsukuba, Japan
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Cited
16 citations as recorded by crossref.
- Impact of Weather Types on Weather Research and Forecasting Model Skill for Temperature and Precipitation Forecasting in Northwest Greece D. Chaskos et al. https://doi.org/10.3390/atmos15121516
- Geological domain delineation, uncertainty quantification, and cut-off-based contained gold screening using unsupervised learning in a Peruvian gold deposit M. Cotrina-Teatino & J. Araujo https://doi.org/10.1007/s12145-026-02128-4
- Machine learning in climate model workflows: A comprehensive review K. Popoola et al. https://doi.org/10.1016/j.nexres.2026.102572
- A novel cluster-based learning scheme to design optimal networks for atmospheric greenhouse gas monitoring (CRO2A version 1.0) D. Matajira-Rueda et al. https://doi.org/10.5194/gmd-19-3757-2026
- Differential teleconnections between solar radiation and atmospheric circulation at the global scale F. Yang et al. https://doi.org/10.1038/s43247-026-03605-w
- Coupled infrared–mechanical signatures of crack evolution in anisotropic limestone with a hole D. Wei et al. https://doi.org/10.1016/j.engfracmech.2026.111886
- Application of the K-Means method to classify climatic regions of asphalt pavements in Brazil C. Faccin et al. https://doi.org/10.5902/2179460X87741
- Monitoring seasonal peri-urban land surface temperature dynamics driven by land use/land cover (LULC) changes: A multi-source remote sensing and machine learning approach in Qasr-e Shirin, Iran (2000–2024) A. Mahmoudi Nasrabadi https://doi.org/10.1016/j.jastp.2026.106943
- Optimizing Surface Type Definitions in Radiance-to-Irradiance Conversions for Future Earth Radiation Budget Satellite Measurements M. van den Heever et al. https://doi.org/10.3390/rs18040648
- K‐Means Centroids Initialization Based on Differentiation Between Instances Attributes A. Khan et al. https://doi.org/10.1155/2024/7086878
- A Novel Integration of Decision Tree and K-Means for Enhanced Monthly Rainfall Forecasting and Variable Importance Ranking S. Mirhashemi & M. Karimi https://doi.org/10.1007/s11269-026-04532-3
- Statistical analysis of weather factors influencing wildfire behaviour in the cross-border area of Western-Macedonia, Greece and North Macedonia. The SOLVE-Project I. Sakellaris et al. https://doi.org/10.1007/s00704-026-06664-3
- Organized precipitation and associated large‐scale circulation patterns over the Kingdom of Saudi Arabia T. Luong et al. https://doi.org/10.1002/joc.8524
- Investigation of the Regularities of the Influence of Meteorological Factors on Avalanches in Eastern Kazakhstan M. Rakhymberdina et al. https://doi.org/10.3390/atmos16060723
- Integrating machine learning and distributionally robust optimization for sustainable agricultural supply chains under global warming uncertainty H. Darouni et al. https://doi.org/10.1016/j.compchemeng.2025.109412
- Rainfall and Temperature-Based Philippine Climate Zones Using Self-Organizing Maps L. Olaguera et al. https://doi.org/10.2151/sola.21C-002
16 citations as recorded by crossref.
- Impact of Weather Types on Weather Research and Forecasting Model Skill for Temperature and Precipitation Forecasting in Northwest Greece D. Chaskos et al. https://doi.org/10.3390/atmos15121516
- Geological domain delineation, uncertainty quantification, and cut-off-based contained gold screening using unsupervised learning in a Peruvian gold deposit M. Cotrina-Teatino & J. Araujo https://doi.org/10.1007/s12145-026-02128-4
- Machine learning in climate model workflows: A comprehensive review K. Popoola et al. https://doi.org/10.1016/j.nexres.2026.102572
- A novel cluster-based learning scheme to design optimal networks for atmospheric greenhouse gas monitoring (CRO2A version 1.0) D. Matajira-Rueda et al. https://doi.org/10.5194/gmd-19-3757-2026
- Differential teleconnections between solar radiation and atmospheric circulation at the global scale F. Yang et al. https://doi.org/10.1038/s43247-026-03605-w
- Coupled infrared–mechanical signatures of crack evolution in anisotropic limestone with a hole D. Wei et al. https://doi.org/10.1016/j.engfracmech.2026.111886
- Application of the K-Means method to classify climatic regions of asphalt pavements in Brazil C. Faccin et al. https://doi.org/10.5902/2179460X87741
- Monitoring seasonal peri-urban land surface temperature dynamics driven by land use/land cover (LULC) changes: A multi-source remote sensing and machine learning approach in Qasr-e Shirin, Iran (2000–2024) A. Mahmoudi Nasrabadi https://doi.org/10.1016/j.jastp.2026.106943
- Optimizing Surface Type Definitions in Radiance-to-Irradiance Conversions for Future Earth Radiation Budget Satellite Measurements M. van den Heever et al. https://doi.org/10.3390/rs18040648
- K‐Means Centroids Initialization Based on Differentiation Between Instances Attributes A. Khan et al. https://doi.org/10.1155/2024/7086878
- A Novel Integration of Decision Tree and K-Means for Enhanced Monthly Rainfall Forecasting and Variable Importance Ranking S. Mirhashemi & M. Karimi https://doi.org/10.1007/s11269-026-04532-3
- Statistical analysis of weather factors influencing wildfire behaviour in the cross-border area of Western-Macedonia, Greece and North Macedonia. The SOLVE-Project I. Sakellaris et al. https://doi.org/10.1007/s00704-026-06664-3
- Organized precipitation and associated large‐scale circulation patterns over the Kingdom of Saudi Arabia T. Luong et al. https://doi.org/10.1002/joc.8524
- Investigation of the Regularities of the Influence of Meteorological Factors on Avalanches in Eastern Kazakhstan M. Rakhymberdina et al. https://doi.org/10.3390/atmos16060723
- Integrating machine learning and distributionally robust optimization for sustainable agricultural supply chains under global warming uncertainty H. Darouni et al. https://doi.org/10.1016/j.compchemeng.2025.109412
- Rainfall and Temperature-Based Philippine Climate Zones Using Self-Organizing Maps L. Olaguera et al. https://doi.org/10.2151/sola.21C-002
Saved (final revised paper)
Latest update: 02 Nov 2026
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.
This study proposes (i) the structural k-means (S k-means) algorithm for clustering...
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