An Automatic Framework Recognizing the Relationships of Cultural Heritage

• Published in: IEEE access Vol. 12; pp. 171689 - 171705
• Main Authors: Zhang, Zizhan, Zhou, Zijun, Cao, Yingchun
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Cultural differences; Cultural heritage; Cultural resources; Data analysis; Data processing; embedding; Encoding; Geoscience; hierarchical clustering analysis; interdisciplinary research; Kilns; Machine learning; Machine learning algorithms; Matrix decomposition; Modules; one-hot encoding; Principal component analysis; Systematics; traditional Chinese kilns; Unsupervised learning; Vectors; Workflow

The field of cultural heritage has developed over a long period, accumulating a wealth of research findings. Researchers are now focusing on systematic relationships and taxonomic studies of heritage, exploring the underlying cultural information embedded within. Inspired by the fields of machine le...