Articles | Volume 14, issue 4
Model description paper
22 Apr 2021
Model description paper |  | 22 Apr 2021

S-SOM v1.0: a structural self-organizing map algorithm for weather typing

Quang-Van Doan, Hiroyuki Kusaka, Takuto Sato, and Fei Chen


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Quang-Van Doan on behalf of the Authors (15 Jan 2021)  Author's response    Manuscript
ED: Publish as is (17 Feb 2021) by David Topping
Short summary
This study proposes a novel structural self-organizing map (S-SOM) algorithm. The superiority of S-SOM is that it can better recognize the difference (or similarity) among spatial (or temporal) data used for training and thus improve the clustering quality compared to traditional SOM algorithms.