Zheng, Z. Tapping the Economic Potential and Optimizing Strategies of Intangible Cultural Heritage under Digital Transformation. 9. https://doi.org/10.2478/amns-2024-3187
Zeling ZhengCrawler technology Economic and social effects Economic potentials Garment manufacture High-frequency words Intangible cultural heritages K-mean algorithms K-means clustering LDA topic modeling Leisure industry Text-mining topic modeling Tourism Tourism industry Web crawler Yunnan colored painting
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Voulodimos, A., Rallis, I., & Doulamis, N. Physics-based keyframe selection for human motion summarization. 79, 3243-3259. https://doi.org/10.1007/s11042-018-6935-z
Athanasios Voulodimos Ioannis Rallis Nikolaos DoulamisCompact representation Dance Analysis Intangible cultural heritages K-means clustering Key frame selection Keyframe selection Kinematics Motion capture data Motion summarization Semantic information Semantics
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Yang, X., Pan, Y., & Zhang, J. (2024). Construction of Intangible Cultural Heritage Inheritor Profiles Based on K-means Clustering Analysis and Recommendations for Protective Strategies. 334-341. https://doi.org/10.1145/3695080.3695139
Xueyi Yang Yiwen Pan Jinfeng ZhangCorrelation analysis Data analysis techniques Descriptive analysis Heritage networks Intangible cultural heritage inheritor Intangible cultural heritage protections Intangible cultural heritages K-means clustering K-means clustering analysis K-means++ clustering
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