Efficient feature selection based on Gower distance for breast cancer diagnosis
This study presents an efficient feature selection method based on the Gower distance to enhance the accuracy and efficiency of standard classifiers on high-dimensional medical datasets. High-dimensional data poses significant challenges for traditional classifiers due to feature redundancy or being...
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| Main Authors: | Salwa Shakir Baawi, Mustafa Noaman Kadhim, Dhiah Al-Shammary |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-06-01
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| Series: | Journal of Electronic Science and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674862X25000163 |
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