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

Q4 Decision Sciences
Jing Wang
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引用次数: 0

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.
聚类算法在可持续发展背景下针织服装人才培养新模式中的应用
在可持续发展的理念下,针织服装产业的创新与发展至关重要。为了提升针织服装产业的核心竞争力,本研究提出了基于聚类算法的针织服装产业人才培养策略,并构建了人才培养模型。聚类算法的聚类效果显著,在真实数据集上的聚类准确率达到93.66%。将聚类分析得到的针织人才发展模型应用到实践中,人才发展的应用能够显著提高公司精英人才的比例。以上结果表明,在可持续发展理念下的针织服装行业,聚类分析可以有效构建人才培养方案,对针织服装行业和生产行业的可持续发展具有重要价值。
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来源期刊
International Journal of Networking and Virtual Organisations
International Journal of Networking and Virtual Organisations Decision Sciences-Information Systems and Management
CiteScore
1.40
自引率
0.00%
发文量
25
期刊介绍: IJNVO is a forum aimed at providing an authoritative refereed source of information in the field of Networking and Virtual Organisations.
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