Principal Component Analysis Methods, Applications, and Technology

✍ Scribed by VIRGINIA GRAY

• Year: 2017
• Tongue: English
• Leaves: 154
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Contents......Page 6
Preface......Page 8
Abstract......Page 12
1. Introduction......Page 13
2.1. PCA for Transcriptomics......Page 14
2.3. PCA for Metabolomics......Page 15
3. Factor Loading in PCA......Page 16
4. Statistical Hypothesis Testing of Factor Loading in PCA......Page 17
References......Page 20
Biographical Sketch......Page 23
Abstract......Page 26
Introduction......Page 27
Principal Component Analysis......Page 29
Questions in Questionnaire......Page 32
PCA Results......Page 38
Conclusion......Page 40
References......Page 41
Abstract......Page 44
1.1. Motivation – The Need for Fast RT......Page 46
2.1. Principal Component Analysis on Atmospheric Optical Properties......Page 49
2.2. Radiative Transfer Simulations in the Fast-PCA Model......Page 53
2.3. VLIDORT in the Fast-PCA Model......Page 56
LIDORT/VLIDORT......Page 57
FO Model......Page 58
Optical Property Setups for the RT Models......Page 59
2.6. Fast-PCA Calculations for Jacobians......Page 60
2.7. Binning Selection......Page 62
2.8. Software Aspects – Performance Diagnostics, OpenMP Environments......Page 64
3.1. Full-Spectrum Fast-PCA RT Tools......Page 66
3.2. Radiance Accuracies with VLIDORT......Page 70
3.3. Stokes Vectors and Profile Jacobians with the Independent Pixel Approximation......Page 74
3.4. Retrieval of Total Ozone Columns Using Fast-PCA RT......Page 77
3.5. Fast-PCA RT for OCO-2 Forward Models......Page 79
4.1. Summary......Page 81
Acknowledgments......Page 82
References......Page 83
Biographical Sketches......Page 85
Bibliography......Page 94
Index......Page 148

✦ Subjects

Principal Component Analysis;PCA