Hybrid filtering methods for feature selection in high-dimensional cancer data

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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,...

書誌詳細
出版年:	International Journal of Electrical and Computer Engineering
第一著者:	2-s2.0-85172876734
フォーマット:	論文
言語:	English
出版事項:	Institute of Advanced Engineering and Science 2023
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172876734&doi=10.11591%2fijece.v13i6.pp6862-6871&partnerID=40&md5=9c67f896d8b0d1dc507b1f030cb1cab3

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