A Doubly Regularized Linear Discriminant Analysis Classifier With Automatic Parameter Selection

A Doubly Regularized Linear Discriminant Analysis Classifier With Automatic Parameter Selection

Linear discriminant analysis (LDA) based classifiers tend to falter in many practical settings where the training data size is smaller than, or comparable to, the number of features. As a remedy, different regularized LDA (RLDA) methods have been proposed. These methods may still perform poorly depe...

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Bibliographic Details
Main Authors: Alam Zaib, Tarig Ballal, Shahid Khattak, Tareq Y. Al-Naffouri
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Linear discriminant analysis
LDA
RLDA
regularization
covariance matrix estimation
classification algorithms
Online Access:https://ieeexplore.ieee.org/document/9385065/

Internet

https://ieeexplore.ieee.org/document/9385065/

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