kmlShape: An Efficient Method to Cluster Longitudinal Data (Time-Series) According to Their Shapes

BACKGROUND: Longitudinal data are data in which each variable is measured repeatedly over time. One possibility for the analysis of such data is to cluster them. The majority of clustering methods group together individual that have close trajectories at given time points. These methods group trajec...

Descripción completa

Detalles Bibliográficos
Autores principales: Genolini, Christophe, Ecochard, René, Benghezal, Mamoun, Driss, Tarak, Andrieu, Sandrine, Subtil, Fabien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4892497/
https://www.ncbi.nlm.nih.gov/pubmed/27258355
http://dx.doi.org/10.1371/journal.pone.0150738

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4892497/
https://www.ncbi.nlm.nih.gov/pubmed/27258355
http://dx.doi.org/10.1371/journal.pone.0150738

Ejemplares similares