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PCA in Frequency Domain : 주파수 영역에서의 주성분 분석
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- Authors
- Advisor
- 오희석
- Major
- 자연과학대학 통계학과
- Issue Date
- 2016-02
- Publisher
- 서울대학교 대학원
- Description
- 학위논문 (석사)-- 서울대학교 대학원 : 통계학과, 2016. 2. 오희석.
- Abstract
- Principal component analysis (PCA) is one of dimension reduction techniques
in data analysis. By using PCA, large dimensional data can be reduced to
small dimensional one. Then, it is helpful for data summary and data visual-
ization. In this paper, we analyze principal components in frequency domain
and compare PCA results in time domain and frequency domain using time
series data.
- Language
- English
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