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Prediction of Tibial Rotation Pathologies Using Particle Swarm Optimization and K-Means Algorithms
The aim of this article is to investigate pathological subjects from a population through different physical factors. To achieve this, particle swarm optimization (PSO) and K-means (KM) clustering algorithms have been combined (PSO-KM). Datasets provided by the literature were divided into three clu...
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| Publicado en: | J Clin Med |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5920439/ https://ncbi.nlm.nih.gov/pubmed/29597270 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm7040065 |
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