Principal component analysis and randomness test for big data analysis : practical applications of RMT-based technique

Author(s)

• 田中, 美栄子 タナカ, ミエコ
• 井倉, 弓彦 イノクラ, ユミヒコ

Bibliographic Information

Principal component analysis and randomness test for big data analysis : practical applications of RMT-based technique

Mieko Tanaka-Yamawaki, Yumihiko Ikura

（Evolutionary economics and social complexity science, v. 25）

Springer Nature Singapore, 2023

• : hbk

Note

Includes bibliographical references (p. 151-152)

Details

• NCID: BD02364273
• ISBN:
  • 9789811939662
• Country Code: si
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Singapore
• Pages/Volumes: vii, 152 p.
• Size: 25 cm
• Classification:
  • DC23 : 005.7
• Subject Headings:
  • LCSH : Big data -- Economic aspects
  • LCSH : Principal components analysis
• Parent Bibliography ID:
  • BB16993829