Component Identification and Prediction of Ancient Glass Products Based on Decision Tree Model and SVM Model
DOI:
https://doi.org/10.54097/hset.v22i.3304Keywords:
Decision Trees, K-Means Clustering, SVMAbstract
The study of the patterns of chemical composition of glass objects is an important research method of classifying ancient glass objects. In this paper , we firstly selected suitable indicators and sought classification boundary lines through a decision tree model to discover the classification pattern of ancient glass and verify its accuracy . Secondly, it was sub-classified and divided by means of hierarchical clustering and k-means mean clustering to realise the work of categorisation of known components . Finally an SVM model was built to obtain a confusion matrix map to achieve the classification prediction of unknown components.
Downloads
References
Zhizhong Hu et al. Application of LA-ICP-MS in the Analysis of Archaeological Glass and Source Discrimination [J]. Rock and Mineral Analysis,2020,39(04):505-514.
Song Liu, Qinghui Li,Fuxi Gan. Influence of Ancient Glass Samples Surface Conditions on Chemical Composition Analysis Using Portable XRF [J]. SpectroscopyandSpectralAnalysis,2011,31(07):1954-1959.
Deger Zeynep Tuna and Taskin Kaya Gulsen. Glass-box model representation of seismic failure mode prediction for conventional reinforced concrete shear walls[J]. Neural Computing and Applications, 2022, 34(15): 13029-13041.
Solomon O. Akinola and Oluwatobi I. Raji. Relationship between structural complexity and performance of data mining classification algorithms[J]. Journal of Applied Science, Engineering and Technology, 2017, 17(1): 90-97.
Carlsson Gunnar et al. Hierarchical clustering of asymmetric networks[J]. Advances in Data Analysis and Classification, 2018, 12(1): 65-105.
Saumya Singh and Smriti Srivastava. Review of Clustering Techniques in Control System[J]. Procedia Computer Science, 2020, 173(C): 272-280.
Gong, Jianping et al. GNSS Multipath Mitigation Method Based on K-means Classification in Urban Environment[J]. Journal of the Indian Society of Remote Sensing, 2022: 1-9.
Mohamed Ouhda et al. A Content Based Image Retrieval Method Based on K-Means Clustering Technique[J]. Journal of Electronic Commerce in Organizations (JECO), 2018, 16(1): 82-96.
Mingliang Li et al. Study on the Samples of Weathered Red-Bed Mudstone Based on THz-TDS [J]. SpectroscopyandSpectralAnalysis,2016,36(04):929-933.
He Jin xin et al. Automatic Classification of Rock Spectral Features Based on Fusion Learning Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(1): 141-144.
Andrade Renata et al. Micronutrients prediction via pXRF spectrometry in Brazil: Influence of weathering degree[J]. Geoderma Regional, 2021, e00431-
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
