Principal component analysis - multidisciplinary applications
โ Scribed by Parinya Sanguansat
- Publisher
- InTech
- Year
- 2012
- Tongue
- English
- Leaves
- 212
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book is aimed at raising awareness of researchers, scientists and engineers on the benefits of Principal Component Analysis (PCA) in data analysis. In this book, the reader will find the applications of PCA in fields such as taxonomy, biology, pharmacy,finance, agriculture, ecology, health and architecture.
๐ SIMILAR VOLUMES
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 examin
<p>This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data. In the part dealing with the principle, after a brief introduction of ordinary PCA, a PCA for categorical data (nominal and o