Principal component analysis - multidisciplinary applications

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. 00 preface_ Principal Component Analysis - Multidisciplinary Applications......Page 1 01 Kernel Methods for Dimensionality Reduction Applied to the «Omics» Data......Page 13 02 Principal Component Analysis in the Era of «Omics» Data ......Page 33 03 Chemometrics (PCA) in Pharmaceutics: Tablet Development, Manufacturing and Quality Assurance......Page 55 04 Pharmacophoric Profile: Design of New Potential Drugs with PCA Analysis......Page 71 05 Empirical study: Do Fund Managers Herd to Counter Investor Sentiment?......Page 87 06 Application of the Principal Component Analysis to Disclose Factors Influencing on the Composition of Fungal Consortia Deteriorating Remained Fruit Stalks on Sour Cherry Trees......Page 101 07 Application of PCA in Taxonomy Research – Thrips (Insecta, Thysanoptera) as a Model Group......Page 123 08 PCA – A Powerful Method for Analyze Ecological Niches......Page 139 09 The Health Care Access Index as a Determinant of Delayed Cancer Detection Through Principal Component Analysis......Page 155 10 Principal Component Analysis Applied to SPECT and PET Data of Dementia Patients – A Review......Page 179 11 Public Parks Aesthetic Value Index......Page 199