A Data Analysis Method Using Orthogonal Transformation in a Reproducing Kernel Hilbert Space-Reference-Cited by-同舟云学术

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A Data Analysis Method Using Orthogonal Transformation in a Reproducing Kernel Hilbert Space

Published:2023-10-01 Issue: Volume:6 Page:887-892
ISSN:
Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Qu Lingxiao¹,Pei Yan¹,Li Jianqiang²

Affiliation:

1. Graduate School of Computer Science and Engineering, University of Aizu,Aizuwakamatsu, Fukushima,Japan,965–8580

2. Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10394417.pdf?arnumber=10394417

Reference30 articles.

1. Principal component analysis

2. Principal component analysis

3. Linear Discriminant Analysis

4. Kernel methods in machine learning

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1. A Comprehensive Review on Discriminant Analysis for Addressing Challenges of Class-Level Limitations, Small Sample Size, and Robustness;Processes;2024-07-02

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