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.
| ISBN: | 9781536108897 |
| Publication date: | 1st May 2017 |
| Author: | Virginia Gray |
| Publisher: | Nova Science Publishers an imprint of Nova Science Publishers, Inc |
| Format: | Paperback |
| Pagination: | 130 pages |
| Series: | Mathematics Research Developments |
| Genres: |
Mathematics |
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.
Principal Component Analysis features in the following genres: Mathematics
Principal Component Analysis is available in Paperback
Principal Component Analysis was written by Virginia Gray and published by Nova Science Publishers an imprint of Nova Science Publishers, Inc
Principal Component Analysis has 130 pages
Yes it is part of Mathematics Research Developments series