Feature identification in time series data sets

We present a computationally inexpensive, flexible feature identification method which uses a comparison of time series to identify a rank-ordered set of features in geophysically-sourced data sets. Many physical phenomena perturb multiple physical variables nearly simultaneously, and so features ar...

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Detalles Bibliográficos
Autores principales: Shaw, Justin, Stastna, Marek, Coutino, Aaron, Walter, Ryan K., Reinhardt, Eduard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6536425/
https://www.ncbi.nlm.nih.gov/pubmed/31193538
http://dx.doi.org/10.1016/j.heliyon.2019.e01708

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6536425/
https://www.ncbi.nlm.nih.gov/pubmed/31193538
http://dx.doi.org/10.1016/j.heliyon.2019.e01708

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