A self-adaptive particle swarm optimization based K-means (SAPSO-K) clustering method to evaluate fabric tactile comfort
| Autor: | Sun Yi, Haochen Zou, Dongming Zheng, Zhenrui Liu, Gui Liu, Jinkang Liu, Zhaoqun Du |
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| Rok vydání: | 2021 |
| Předmět: |
010407 polymers
Polymers and Plastics Computer science Materials Science (miscellaneous) MathematicsofComputing_NUMERICALANALYSIS k-means clustering Particle swarm optimization Self adaptive 01 natural sciences Industrial and Manufacturing Engineering 0104 chemical sciences General Agricultural and Biological Sciences Cluster analysis Algorithm |
| Zdroj: | The Journal of The Textile Institute. 113:915-926 |
| ISSN: | 1754-2340 0040-5000 |
| Popis: | This article proposes a new clustering algorithm of the self-adaptive particle swarm optimization (PSO) based K-means (SAPSO-K) to evaluate the fabric tactile comfort and compared with other algori... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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