Investigation on PCA in frequency domain
With the development of science and technology, the dimension of dataset has grown to be be higher and higher. To conveniently cope with them, a method called principal component analysis (PCA) has been invented to reduce the dimension while maintain most information of dataset. Nowadays, data in th...
Saved in:
主要作者: | Duan, Zhaoming |
---|---|
其他作者: | Pan Guangming |
格式: | Final Year Project |
語言: | English |
出版: |
Nanyang Technological University
2022
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/156932 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Lee-Carter model and Kernel PCA
由: Wu, Yuanqi
出版: (2022) -
Efficient mapped spectral methods for unbounded and exterior domains
由: Batubara, Johan
出版: (2008) -
Exponential convergence of spectral approximations and time-domain computation of scattering problems.
由: Zhao, Xiaodan.
出版: (2013) -
Classifying Insurance Reserve Period via Claim Frequency Domain Using Hawkes Process
由: Effendie, Adhitya Ronnie, et al.
出版: (2022) -
Nonlinear process monitoring using JITL-PCA
由: Cheng, C., et al.
出版: (2014)