An empirical study on the application of incremental clustering algorithm in mining ethnic festival culture for integration into student education
This research focuses on the inheritance and education of ethnic festival culture, aiming to deeply analyze the inheritance laws of ethnic festival culture and explore its profound connotations. In view of the unique attributes of minority festival culture, an innovative XML subtree sequence representation method is designed. This method can accurately and effectively preserve the structural information of XML nodes, laying a solid foundation for subsequent research. In terms of text similarity calculation, a subtree - based XML similarity calculation method is proposed by comprehensively considering the XML document path, node level, and weight, which significantly improves the accuracy of text similarity calculation. In addition, a new incremental clustering algorithm is carefully designed and innovatively applied to the practice of integrating minority festival culture into students' ideological education. The experimental results fully verify the feasibility and effectiveness of this algorithm in the ideological education scenario of ethnic festival culture, providing new ideas and methods for the development of related fields.
Authors
- Yufeng Guo (ORCID: https://orcid.org/0000-0002-1490-986X)
- Qian Li (ORCID: https://orcid.org/0000-0003-4158-4244)
Institutions
- Kunming Metallurgical Research Institute (CN)
- Kunming Metallurgy College (CN)
Publication Details
- Published
- 2025-07-16
- DOI
- https://doi.org/10.1117/12.3070983
- Primary Topic
- Education and Learning Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00