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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5920439/ https://www.ncbi.nlm.nih.gov/pubmed/29597270 http://dx.doi.org/10.3390/jcm7040065 |