Identifying ecosystem patterns from time series of anchovy (Engraulis ringens) and sardine (Sardinops sagax) landings in northern Chile

DOI10.1080/00949655.2017.1410150OpenAlexW2772865121WikidataQ125019866 ScholiaQ125019866MaRDI QIDQ4960651

Rodrigo Salas, Eleuterio Yáñez, Francisco Plaza

Publication date: 23 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2017.1410150

zbMATH Keywords

time seriesdata miningpatternsanchovysardineecosystem-based approachknowledge discovery from data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Editorial

Uses Software

• R
• Silhouettes
• astsa
• MVA
• NbClust
• clusfind

Cites Work

• Estimating the Number of Clusters in a Data Set Via the Gap Statistic
• Data mining. Concepts and techniques
• The varimax criterion for analytic rotation in factor analysis
• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• Clustering of time series data -- a survey
• An Introduction to Applied Multivariate Analysis with R
• Finding Groups in Data
• On a measure of lack of fit in time series models
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