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Article Dans Une Revue Textile Research Journal Année : 2021

Research on intelligent clustering of male upper body

Résumé

To study the upper body characteristics of young men, the body circumference, length, width, thickness, and angle of young men aged 18–25 and 26–35 years were collected to comprehensively characterize the concave and convex features of the front, back, and side of the human body. The Cuckoo Search-Density Peak intelligent algorithm was used to extract the feature factors of the upper body of men, and to cluster them. To verify the effectiveness of the intelligent algorithm, the clustering results of Cuckoo Search-Density Peak, Density Peak, Particle Swarm Optimization-Density Peak algorithm, Ant Colony Optimization-Density Peak algorithm, Genetic Algorithm-Density Peak algorithm, and Artificial Bee Colony-Density Peak algorithm were evaluated by Silouette and F-measures, respectively. The results show that the Cuckoo Search-Density Peak algorithm has the best clustering results and is superior to other algorithms. There are some differences in somatotype characteristics and somatotype indexes between young men aged 18–25 and 26–35 years.
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Dates et versions

hal-04514726 , version 1 (21-03-2024)

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Pengpeng Cheng, Xianyi Zeng, Pascal Bruniaux, Jianping Wang, D. L. Chen. Research on intelligent clustering of male upper body. Textile Research Journal, 2021, Textile Research Journal, -, ⟨10.1177/00405175211000125⟩. ⟨hal-04514726⟩

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