Cargando...
MIFuzzy Clustering for Incomplete Longitudinal Data in Smart Health
Missing data are common in longitudinal observational and randomized controlled trials in smart health studies. Multiple-imputation based fuzzy clustering is an emerging non-parametric soft computing method, used for either semi-supervised or unsupervised learning. Multiple imputation (MI) has been...
Guardado en:
| Publicado en: | Smart Health (Amst) |
|---|---|
| Autor principal: | |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2017
|
| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5631546/ https://ncbi.nlm.nih.gov/pubmed/28993813 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.smhl.2017.04.002 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|