Hybrid filtering methods for feature selection in high-dimensional cancer data
Statisticians in both academia and industry have encountered problems with high-dimensional data. The rapid feature increase has caused the feature count to outstrip the instance count. There are several established methods when selecting features from massive amounts of breast cancer data. Even so,...
الحاوية / القاعدة: | International Journal of Electrical and Computer Engineering |
---|---|
المؤلف الرئيسي: | 2-s2.0-85172876734 |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
Institute of Advanced Engineering and Science
2023
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172876734&doi=10.11591%2fijece.v13i6.pp6862-6871&partnerID=40&md5=9c67f896d8b0d1dc507b1f030cb1cab3 |
مواد مشابهة
-
Hybrid embedded and filter feature selection methods in big-dimension mammary cancer and prostatic cancer data
بواسطة: 2-s2.0-85200038464
منشور في: (2024) -
Feature selection for online streaming high-dimensional data: A state-of-the-art review
بواسطة: 2-s2.0-85135701708
منشور في: (2022) -
Enhancing big data feature selection using a hybrid correlation-based feature selection
بواسطة: Mohamad M.; Selamat A.; Krejcar O.; Crespo R.G.; Herrera-Viedma E.; Fujita H.
منشور في: (2021) -
Student performance classification: a comparison of feature selection methods based on online learning activities
بواسطة: Alias M.A.H.; Aziz M.A.A.; Hambali N.; Taib M.N.
منشور في: (2024) -
Feature Selection Methods Using RBFNN Based on Enhance Air Quality Prediction: Insights from Shah Alam
بواسطة: 2-s2.0-86000672793
منشور في: (2024)