Unsupervised meta-analysis on chemical elements and atomic energy prediction: A case study on the periodic table
This paper presents an artificial classification and atomic energy correlation analysis of the chemical components. The choice of data mining is due to its robustness, which can explore intrinsic or hidden relationships between chemical components and their properties. The Mendeleev table is conceiv...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-09-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024132719 |