Title: The application of clustering algorithms in a new model of knitted garment talent training in the context of sustainable development

Authors: Jing Wang

Addresses: College of Fashion, Henan Institute of Science and Technology, Xinxiang, 453003, China

Abstract: Under the concept of sustainable development, the innovation and development of the knitted garment industry is crucial. In order to enhance the core competitiveness of the knitted garment industry, the study proposes a talent training strategy for the knitted garment industry based on a clustering algorithm, and constructs a talent-training model. The clustering algorithm showed a significant clustering effect, with a clustering accuracy of 93.66% in the real dataset. The knitwear talent development model obtained through the clustering analysis was applied in practice, and the application of talent development was able to significantly increase the proportion of elite talent in the company. The above results show that in the knitted garment industry under the concept of sustainable development, cluster analysis can effectively build a talent-training program, which is of great value to the sustainable development of the knitted garment industry and the production industry.

Keywords: sustainable development; clustering algorithm; knitwear; talent development.

DOI: 10.1504/IJNVO.2023.133835

International Journal of Networking and Virtual Organisations, 2023 Vol.28 No.2/3/4, pp.139 - 153

Received: 09 Aug 2022
Accepted: 13 Dec 2022
Published online: 04 Oct 2023 *

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