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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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PUBLIA – SLUB Open Publishing
2020-08-01
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| Series: | Communications in Development and Assembling of Textile Products |
| Subjects: | |
| Online Access: | https://journals.qucosa.de/cdatp/article/view/4 |
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