Integrating Fuzzy C-Means and DBSCAN: A Hybrid Approach to Medical Data Mining
Medical data mining is crucial to gain meaningful insights from complex healthcare databases. Medical data sometimes exhibits ambiguity and overlap due to inconsistent diagnosis and varying patient situations. This work proposes a hybrid clustering strategy that combines Fuzzy C-Means (FCM) with Den...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2025-03-01
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| Series: | Fuzzy Information and Engineering |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/FIE.2025.9270055 |
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