Hybrid embedded and filter feature selection methods in big-dimension mammary cancer and prostatic cancer data
The feature selection method enhances machine learning performance by enhancing learning precision. Determining the optimal feature selection method for a given machine learning task involving big-dimension data is crucial. Therefore, the purpose of this study is to make a comparison of feature sele...
الحاوية / القاعدة: | IAES International Journal of Artificial Intelligence |
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المؤلف الرئيسي: | 2-s2.0-85200038464 |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
Institute of Advanced Engineering and Science
2024
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الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200038464&doi=10.11591%2fijai.v13.i3.pp3101-3110&partnerID=40&md5=ba3f5442cc256848925d306572475933 |
مواد مشابهة
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Hybrid filtering methods for feature selection in high-dimensional cancer data
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