Analysis and identification of ancient glass based on SVM and K-means clustering model

Benzhe Ding; Dongyang Xi; Tingting Yan; Qimeng Zhao; Xiangxin Wu

doi:10.1117/12.2685846

28 July 2023 Analysis and identification of ancient glass based on SVM and K-means clustering model

Benzhe Ding, Dongyang Xi, Tingting Yan, Qimeng Zhao, Xiangxin Wu

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 1275605 (2023) https://doi.org/10.1117/12.2685846
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

This paper completes the macro and micro joint classification system by establishing a Support Vector Machine (SVM) regression prediction model. On this basis, we use Principal Component Analysis (PCA) and Entropy Weight Method (EWM) method to select and calculate the weight of five dimension reduction classification indicators. We classify the types by K-means clustering algorithm. The K-center is used to calculate the classification center and euclidean distance of unknown glass, so as to obtain the calculation method of glass in cultural relics identification. Finally, we use multiple regression fitting analysis of the relationship between the components. This study is helpful to the correct identification of the glass relics and plays an important role in the study of history.

Citation Download Citation

Benzhe Ding, Dongyang Xi, Tingting Yan, Qimeng Zhao, and Xiangxin Wu "Analysis and identification of ancient glass based on SVM and K-means clustering model", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 1275605 (28 July 2023); https://doi.org/10.1117/12.2685846

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