Feature screening for ultrahigh-dimensional binary classification via linear projection

Feature screening for ultrahigh-dimensional binary classification via linear projection

Linear discriminant analysis (LDA) is one of the most widely used methods in discriminant classification and pattern recognition. However, with the rapid development of information science and technology, the dimensionality of collected data is high or ultrahigh, which causes the failure of LDA. To...

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Bibliographic Details
Main Authors: Peng Lai, Mingyue Wang, Fengli Song, Yanqiu Zhou
Format: Article
Language:English
Published: AIMS Press 2023-04-01
Series:AIMS Mathematics
Subjects:
ultrahigh-dimensional data
linear projection
marginal score test
feature screening
sure screening property
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2023730?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.2023730?viewType=HTML

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