Glass classification study based on principal component analysis and systematic clustering
DOI:
https://doi.org/10.54097/hset.v40i.6569Keywords:
principal component analysis, systematic clustering, glass classification, subclassification.Abstract
Ancient Chinese glass is similar in appearance to Western glass, but the chemical composition and its content are very different. In order to properly explore the classification laws of different categories of glass and further study their subclassification, this paper starts from the sample data and uses systematic clustering and principal component analysis to develop a glass classification study based on the index Euclidean distance.
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Mohmmad Jamal El-Khatib, Bassem S. Abu-Nasser, Samy S.Glass Classification Using Artificial Neural Network [J]. 2019.
Farahnaz Koleini, Philippe Colomban, Innocent Pikirayi. Post-15th century European glass beads in southern Africa: composition and classification using pXRF and Raman spectroscopy [J]. Journal of Archaeological Science: Reports, 2020, 29.
Bulat N, Galimzyanov,Anatolii V. Mokshin A novel view on classification of glass-forming liquids and empirical viscosity model [J]. 2021, 570: 121009.
Wang De Qiang, Pan Wei, He Li An, et al. The Review of Glass Frit Compositions for Glazing [J]. 2006.
Wang Yingzhu, Wang Lele, Ma Qinglin, et al. Chemical composition and microstructure of two Warring States period papilliform vessels [J]. 2015, (6): 8.
Herve Abdi Lynne J. Williams.Principal Component Analysis [J]. 2002, 87(4): 513.
Maurice Auslander, Idun Reiten.Applications of contravariantly fnite subcategories [J]. 1991, 86 (1): 111 - 52.
Elie Aljalbout, Vladimir Golkov, Yawar Siddiqui et al. Clustering with Deep Learning: Taxonomy and New Methods [J]. 2018.
Dominique Makowski, Mattan S. Ben-Shachar, Indrajeet Patil, et al. Methods and Algorithms for Correlation Analysis in R [J]. 2020, 5 (51): 2306.
Diego P.P. Mesquita, João P.P. Gomes et al. Euclidean distance estimation in incomplete datasets [J]. 2017.
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