Unsupervised classification of multi-class chart images: A comparison of customized CNNs and transfer learning techniques
Visualization through charts has become a crucial method for presenting complex data in a clear and structured format, surpassing traditional representation techniques in both clarity and interpretability. However, the automatic classification of chart images remains a significant challenge, particu...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
PeerJ Inc.
2025
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| Online Access: | http://eprints.utem.edu.my/id/eprint/29573/2/0248713102025144826.pdf http://eprints.utem.edu.my/id/eprint/29573/ https://peerj.com/articles/cs-3148/ |
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