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.
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