Gray V. Principal Component Analysis Methods, Applications, and Technology

New York: Nova Science Publishers, Inc., 2017. — 154 p.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.AbstractPCA for Transcriptomics
PCA for Metabolomics
Factor Loading in PCA
Statistical Hypothesis Testing of Factor Loading in PCABiographical Sketch
AbstractPrincipal Component Analysis
Questions in Questionnaire
PCA ResultsAbstract
Motivation – The Need for Fast RT
Principal Component Analysis on Atmospheric Optical Properties
Radiative Transfer Simulations in the Fast-PCA Model
VLIDORT in the Fast-PCA Model
LIDORT/VLIDORT
FO Model
Optical Property Setups for the RT Models
Fast-PCA Calculations for Jacobians
Binning Selection
Software Aspects – Performance Diagnostics, OpenMP Environments
Full-Spectrum Fast-PCA RT Tools
Radiance Accuracies with VLIDORT
Stokes Vectors and Profile Jacobians with the Independent Pixel Approximation
Retrieval of Total Ozone Columns Using Fast-PCA RT
Fast-PCA RT for OCO- Forward ModelsBiographical Sketches