Title :
Fuzzy clustering algorithm based on PSO in body shape analysis
Author_Institution :
Sch. of Inf. & Electron. Eng., Zhejiang Univ. of Sci. & Technol., Hangzhou, China
Abstract :
Mass customization is a new manufacturing trend in which mass-market products are quickly modified one at a time based on customers´ needs. Body scanners will play a critical role in mass customization because they enable retailers to rapidly collect three-dimensional (3D) data for each consumer. In this article, we discuss how to deal with the three-dimensional (3D) data based on fuzzy particle swarm optimization clustering algorithm. The results show it´s an effective method.
Keywords :
fuzzy set theory; mass production; particle swarm optimisation; pattern clustering; production engineering computing; 3D data; body scanners; body shape analysis; fuzzy clustering; fuzzy particle swarm optimization clustering; mass customization; mass-market products; Algorithm design and analysis; Clothing; Clustering algorithms; Gaussian processes; Humans; Manufacturing; Mass customization; Production; Shape; Software measurement; Body shape analysis; Fuzzy Clustering; PSO;
Conference_Titel :
Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4606-3
DOI :
10.1109/PACIIA.2009.5406634
