Principal Component Analysis: Multidisciplinary Applications
BoD – Books on Demand, Feb 29, 2012 - Computers - 214 pages
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.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Principal Component Analysis
Do Fund Managers
Application of the Principal Component
Application of PCA in Taxonomy Research Thrips
PCA A Powerful Method
The Health Care Access Index
Principal Component Analysis Applied to SPECT
Public Parks Aesthetic Value Index
acetylcholinesterase AChEIs aesthetic value AIC and SIC analytes applied aspect batch effects biological buy-herding calculated cluster composite computed correlation data matrix dataset dimensionality discriminant distribution drug ecological eigenvalue electronic environmental evaluate excipients expression profile factors Figure fund herding fund managers fungal fungal species fungi gene expression genetic genome granulation groups habitat Haplothrips HCAI herding measures inhibitors investor sentiment ISSN Journal of Pharmaceutical Kernel PCA KPCA Kucharczyk late-stage cancer mapping mass spectrometry metabolomics methods microarray molecular molecules multivariate analysis mutual funds niche nonlinear omics parameters partial least squares PC scores PC1 and PC2 pharmacophore plot preprocessing Principal Component Analysis principal component scores properties proteins proteomics public parks quantitative regions regression selected sell-herding sentiment indicator socioeconomic sour cherry sour cherry varieties spatial stalks statistical structure Table tangent vectors tangent vectors associated Thrips Thysanoptera transcriptomics Újfehértó variables variance variation