Theoretical Considerations for Applying Complex Principal Component Analysis to Fluctuated Data

HANDLE Web Site Open Access

Bibliographic Information

Other Title
  • 複素主成分解析の変動データヘの応用
  • 複素主成分解析の変動データへの応用
  • フクソ シュセイブン カイセキ ノ ヘンドウ データ エ ノ オウヨウ

Search this article

Abstract

The Principal Component Analysis (PCA) has been widely used in all fields of engineering, and it is known as a tool of statistical analysis in order to extract the characteristics from experimental data. In the existing studies dealing with fluctuated data, the orthogonality of eigen functions by PCA has been emphasized and the other properties have not been ultilized enough. This study proposes more practical use of the eigen function of single variable, by examining the own properties of PCA in analyzing wave-like fluctuating data.

Journal

Keywords

Details 詳細情報について

Report a problem

Back to top