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<p>This paper adopts the combination of fusion features and data clustering analysis, using fusion features and the FasterRCNN algorithm to process the data of artisanal skill cultivation and industrial synergistic development in the context of vocational education and derive relevant features. The features are fused and categorized by means of anchor frame extraction, and the processed data form a feature model. Then, the current development of vocational education in 31 provinces in China was analyzed using data clustering analysis, and Jiangsu Province, which has the best development, was selected for data collection. Six hundred and fourteen pieces of graduate information were selected for cluster analysis, and it was concluded that the cultivation of artisanal skill talents in the context of vocational education has a positive impact on the synergistic development of the industry.</p>
</abstract>

This paper adopts the combination of fusion features and data clustering analysis, using fusion features and the FasterRCNN algorithm to process the data of artisanal skill cultivation and industrial synergistic development in the context of vocational education and derive relevant features. The features are fused and categorized by means of anchor frame extraction, and the processed data form a feature model. Then, the current development of vocational education in 31 provinces in China was analyzed using data clustering analysis, and Jiangsu Province, which has the best development, was selected for data collection. Six hundred and fourteen pieces of graduate information were selected for cluster analysis, and it was concluded that the cultivation of artisanal skill talents in the context of vocational education has a positive impact on the synergistic development of the industry.

Research on the synergistic development of artisanal skill talents cultivation and industry in the context of vocational education based on integration characteristics and cluster analysis

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper adopts the combination of fusion features and data clustering analysis, using fusion features and the FasterRCNN algorithm to process the data of...

Research on the synergistic development of artisanal skill talents cultivation and industry in the context of vocational education based on integration characteristics and cluster analysis

Online veröffentlicht: 11. Nov. 2023

Seitenbereich: -

Eingereicht: 29. Dez. 2022

Akzeptiert: 22. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.01093

Schlüsselwörter
Fusion characteristics, Data clustering analysis, Vocational education, Skilled personnel, Industry synergy development

© 2023 Haijun Tong et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the synergistic development of artisanal skill talents cultivation and industry in the context of vocational education based on integration characteristics and cluster analysis

Online veröffentlicht: 11. Nov. 2023

Seitenbereich: -

Eingereicht: 29. Dez. 2022

Akzeptiert: 22. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.01093

SchlüsselwörterFusion characteristics, Data clustering analysis, Vocational education, Skilled personnel, Industry synergy development

© 2023 Haijun Tong et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Fusion characteristics, Data clustering analysis, Vocational education, Skilled personnel, Industry synergy development