Research on intelligent clustering of male upper body

Cheng, Pengpeng; Zeng, Xianyi; Bruniaux, Pascal; Wang, Jianping; Chen, D. L.

Document type :

Article dans une revue scientifique: Article original

DOI :

10.1177/00405175211000125

Permalink :

http://hdl.handle.net/20.500.12210/84931

Title :

Research on intelligent clustering of male upper body

Author(s) :

Cheng, Pengpeng [Auteur]
École nationale supérieure des arts et industries textiles [ENSAIT]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Zeng, Xianyi [Auteur]
École nationale supérieure des arts et industries textiles [ENSAIT]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Bruniaux, Pascal [Auteur]
École nationale supérieure des arts et industries textiles [ENSAIT]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Wang, Jianping [Auteur]
École nationale supérieure des arts et industries textiles [ENSAIT]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Chen, D. L. [Auteur]

Journal title :

Textile Research Journal

Abbreviated title :

Text. Res. J.

Volume number :

Pages :

Publication date :

2021-08-15

ISSN :

0040-5175

English keyword(s) :

young men
intelligent algorithm
cuckoo search-density peak algorithm
clustering

HAL domain(s) :

Sciences de l'ingénieur [physics]

English abstract : [en]

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 ...
Show more >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.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
ENSAIT
Junia HEI

Collections :

Génie des matériaux textiles (GEMTEX) - ULR 2641

Submission date :

2023-06-20T11:53:16Z
2024-03-21T10:14:52Z

Version	Link	Modification date
2	20.500.12210/84931*	2024-03-21T10:12:39Z
1	20.500.12210/84931.1	2023-06-20T11:53:16Z

Research on intelligent clustering of male ...

BibTeX

CSV

Excel

RIS

Version history

Research on intelligent clustering of male ... BibTeX CSV Excel RIS

Version history

Research on intelligent clustering of male ...

BibTeX

CSV

Excel

RIS