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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Materias: | |
| 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 |