Classification of ancient glassware based on K-means and decision trees
DOI:
https://doi.org/10.54097/hset.v58i.10033Keywords:
K-means, Decision Trees, Ancient Glassware, Chemical Composition.Abstract
In this paper, the relation between the chemical composition of different types of glass objects was analyzed, and the differences between the chemical compositions were used to classify the glass objects, mainly by K-means, decision tree, and Euclidean distance analysis. For the classification of glass artifacts, this article analyzed the chemical composition of different types of glass artifacts and the changes of chemical composition before and after weathering, and then obtained the differences of chemical composition of different types of glass artifacts to obtain the classification law. The model was tested for reasonableness by giving the classification criteria, and the sensitivity of the model was determined by the change in the number of classification species K.The sensitivity of the model was analyzed by calculating the Euclidean distances between the object and the cluster centers, and the variance of the model by calculating the Euclidean distances between the object and the cluster centers before and after the weathering of the glass objects.
Downloads
References
Wichao. A review of correlation coefficient research [J]. Journal of Guangdong University of Technology, 2012, 29 (3): 12 - 17.
Yu Lianmin. Improvement and Application of K-means Algorithm in Cluster Analysis [D]. Shandong University of Science and Technology, 2019.
Zeng Yimiao. Improved K-means clustering algorithm based on cyclic dataset [J]. Software, 2021, 42 (11): 74 - 76.
Wang Zhehui, Cheng Ji, Qu an etc. Application of machine learning algorithms in 5G network shunt enhancement [J]. Digital Communications World, 2022, No.216 (12): 73 - 76+80.
Jiang, Xingli, Wang, Jianhui. A decision tree algorithm for disease classification prediction [J]. Information and Computer (Theoretical Edition), 2021, 33 (11): 51 - 53.
Xu Yajie, Liang Jinghan. Construction of student performance evaluation model based on K-means fusion decision tree classification algorithm [J]. Wireless Internet Technology, 2022, 19 (22): 134 - 137.
Sun Pei, Wang Quanfang, Yi Jiewei etc. Extraction of wheat and rape planting range based on decision tree classification method [J]. Agriculture and Technology, 2022, 42 (24): 7 - 11.DOI: 10.19754/j.nyyjs.20221230002.
Yan Hongli, Luo Yonglian. Classification of breaking news based on decision tree method [J]. Electronic Technology and Software Engineering,2020, No.172 (02): 194 - 195.
Wang Hui, Zhang Wenjie, Liu Jie etc. Flight delay prediction model based on classification regression decision tree algorithm [J]. Journal of Civil Aviation University of China, 2022, 40 (03): 35 - 40.
Wang Weishuai, Gao Yue, Liu Hongyuan etc. Evaluation of agricultural sustainability in Chengdu based on the Euclidean distance method [J]. China Agricultural Resources and Zoning,2019, 40 (07): 209 - 215.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
