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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-03-01
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| Series: | Journal of Clinical Medicine |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2077-0383/7/4/65 |