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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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Detalles Bibliográficos
Autores principales: Sari, Murat, Tuna, Can, Akogul, Serkan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
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

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