Piece‐wise constant cluster modelling of dynamics of upwelling patterns-Reference-Cited by-同舟云学术

Piece‐wise constant cluster modelling of dynamics of upwelling patterns

Published:2023-09-12 Issue:10 Volume:40 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Nascimento Susana¹^ORCID,Martins Alexandre¹,Relvas Paulo²,Luís Joaquim F.³,Mirkin Boris⁴⁵

Affiliation:

1. Department of Computer Science and NOVA Laboratory for Computer Science and Informatics (NOVA‐LINCS) NOVA School of Science and Technology Lisboa Portugal

2. Department of Earth Marine and Environmental Sciences Universidade do Algarve / Centre of Marine Sciences (CCMAR) Faro Portugal

3. Department of Earth Marine and Environmental Sciences Universidade do Algarve / Instituto Don Luis (IDL) Faro Portugal

4. Department of Data Analysis and Artificial Intelligence National Research University Higher School of Economics, Moscow, Russian Federation Moscow Russian Federation

5. Department of Computer Science Birkbeck University of London London UK

Abstract

AbstractA comprehensive approach is presented to analyse season's coastal upwelling represented by weekly sea surface temperature (SST) image grids. Our three‐stage data recovery clustering method assumes that the season's upwelling can be divided into shorter periods of stability, ranges, each to be represented by a constant core and variable shell parts. Corresponding clustering algorithms parameters are automatically derived by using the least‐squares clustering criterion. The approach has been successfully applied to real‐world SST data covering two distinct regions: Portuguese coast and Morocco coast, for 16 years each.

Funder

NOVA LINCS

Fundação para a Ciência e a Tecnologia

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.13446

Reference45 articles.

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