ADVANCED CLUSTERING TECHNIQUES FOR TIN DEPOSIT CLASSIFICATION IN MALAYSIA: A MACHINE LEARNING APPROACH
This study explores the application of advanced clustering techniques—Spectral Clustering, Gaussian Mixture Models (GMM), and a hybrid approach combining Autoencoders with K-Means—to classify tin deposits in Malaysia. Geochemical data from 28 tin samples across regions such as Pengkalan Hulu North,...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Zagreb
2025-01-01
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| Series: | Rudarsko-geološko-naftni Zbornik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/482024 |
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