Articles | Volume 16, issue 8
https://doi.org/10.5194/gmd-16-2215-2023
https://doi.org/10.5194/gmd-16-2215-2023
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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-172', Anonymous Referee #1, 16 Oct 2022
  • RC2: 'Comment on gmd-2022-172', Anonymous Referee #2, 17 Nov 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Quang-Van Doan on behalf of the Authors (06 Dec 2022)  Author's response   Author's tracked changes   Manuscript 
EF by Polina Shvedko (06 Dec 2022)  Supplement 
ED: Referee Nomination & Report Request started (28 Dec 2022) by Richard Mills
RR by Anonymous Referee #2 (13 Jan 2023)
RR by Anonymous Referee #1 (29 Jan 2023)
ED: Publish subject to technical corrections (15 Feb 2023) by Richard Mills
AR by Quang-Van Doan on behalf of the Authors (19 Feb 2023)  Author's response   Manuscript 
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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.