Research on Glass Classification and Recognition Based on Fisher's Linear Discriminant and Hierarchical Clustering

Tengyuan Rong; Yu Liang

doi:10.54097/hset.v42i.7091

Authors

Tengyuan Rong
Yu Liang

DOI:

https://doi.org/10.54097/hset.v42i.7091

Keywords:

Fisher's Linear Discriminant, Principal components analysis (PCA), Hierarchical Clustering, Glass Artifacts.

Abstract

Buried in the ground, the glass cultural relics weathered, and a large number of internal elements were exchanged. In order to classify the types of glass, this paper first uses Fisher linear discriminant analysis to obtain a binary classification model of glass types, and finds that the prediction accuracy of the model has reached 90%. Considering the possible overfitting of the model, this paper also uses the principal component analysis method to reduce the dimension of the data, thus obtaining the model and determining that its accuracy rate is maintained above 90%. In order to identify the types of unknown glass cultural relics, the multi-category Fisher’s Linear Discriminant method based on principal component analysis was used to identify the subcategories they belonged to.

Downloads

Download data is not yet available.

References

Siqin Bilig, Li Qinghui, Gan Fuxi. Laser Ablation-Inductively Coupled Plasma-Atomic Emission Spectroscopy/Mass Spectrometry Analysis of Ancient Chinese Potassium Glass Components[J]. Analytical Chemistry, 2013,41(09):1328-1333 .

Cao Caixia, Guo Hong. Classification of disease types of stone, ceramics and glass cultural relics collected in museums with fuzzy mathematics [J]. Journal of Beijing Union University (Natural Science Edition), 2009,23(04):58-60.DOI :10.16255/j.cnki.ldxbz.2009.04.024.

Tian Bing.Fisher Discriminant Analysis and Its Application[J].Journal of Weinan Normal University,2014,29(23):8-11+24.DOI:10.15924/j.cnki.1009-5128.2014.23.002.

Ding Xueli, Qi Changsheng, Fang Li. Classification and identification of traditional Chinese medicinal materials based on Fisher discriminant analysis[J]. Journal of Chifeng University (Natural Science Edition), 2021,37(11):19-22.DOI:10.13398/j.cnki.issn1673 -260x.2021.11.006.

Huang Liwen.Fisher stepwise discriminant analysis method based on variable selection[J].System Science and Mathematics,2021,41(08):2338-2348.

Fang Hanguo.A Study on Macroeconomic Prosperity Index Based on Principal Component Analysis[J].Contemporary Economy,2022,39(01):26-31.

Shen Guifang. Research on Personal Credit Risk Assessment Based on PCA and SVM [J]. Journal of Yichun University, 2022,44(10):49-52+120.

Li Luyao. Short-term prediction system for college students' employment based on hierarchical clustering[J]. Journal of Jilin University (Information Science Edition), 2022,40(01):64-70.DOI:10.19292/j.cnki.jdxxp.2022.01.007 .

Jiang Haifeng. Application of Hierarchical Clustering Algorithm in Higher Vocational Teaching Recommendation System [J]. Science and Education Journal, 2021(29):36-38.DOI:10.16400/j.cnki.kjdk.2021.29.012.

Yang Zhenzhen, Li Hongyao, Yang Keyi, Liu Lin. Cluster Analysis of Consumption Level of Residents in Provinces and Cities Based on System Clustering Algorithm and Elbow Criterion [J]. China Science and Technology Information, 2021(12):121-122.