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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...
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| Опубликовано в: : | PLoS One |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4892497/ https://ncbi.nlm.nih.gov/pubmed/27258355 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0150738 |
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