Data mining-based optimal assignment of apparel size for mass customization

In this study, we have explored and discussed the data mining-based solutions to apparel size assignment using approach principle, K-means clustering, and support vector machine, respectively. A case of mass customization for men's pants in China with 200 adult males were employed to validate a...

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Autores principales:	Zhujun Wang, Cheng Chi, Mengyun Zhang, Xianyi Zeng, Pascal Bruniaux, Jianping Wang, Yingmei Xing
Formato:	article
Lenguaje:	EN
Publicado:	TU Dresden; Faculty of Mechanical Science and Engineering;Chair of Development and Assembly of Textile Products 2020
Materias:	garment size mass customization data mining clustering algorithm k-means clustering support vector machine Textile bleaching, dyeing, printing, etc. TP890-933 Engineering machinery, tools, and implements TA213-215
Acceso en línea:	https://doaj.org/article/553eb18e256d4e0696ac959fae0bbbcb
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Data mining-based optimal assignment of apparel size for mass customization

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