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PCA in Frequency Domain
주파수 영역에서의 주성분 분석

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Authors
조유정
Advisor
오희석
Major
자연과학대학 통계학과
Issue Date
2016-02
Publisher
서울대학교 대학원
Keywords
Frequency domainPrincipal componentPrincipal component analysisTime series data
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
URI
http://hdl.handle.net/10371/131310
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College of Natural Sciences (자연과학대학)Dept. of Statistics (통계학과)Theses (Master's Degree_통계학과)
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