Principal Component Analysis Methods, Applications, and...

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Mathematics - Mathematical Statistics
Principal Component Analysis Methods,...

Principal Component Analysis Methods, Applications, and Technology

VIRGINIA GRAY

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This book provides new research on principal component analysis (PCA). Chapter One introduces typical PCA applications of transcriptomic, proteomic and metabolomic data. Chapter Two studies the factor analysis of an outcome measurement survey for science, technology and society. Chapter Three examines the application of PCA to performance enhancement of hyperspectral radiative transfer computations.

Catégories:

Mathematics - Mathematical Statistics

Année:

2017

Langue:

english

Pages:

154

Fichier:

PDF, 3.16 MB

IPFS:

english, 2017