Open access peer-reviewed Edited Volume

Principal Component Analysis - Multidisciplinary Applications

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Academic Editor

PublishedFebruary 29th, 2012

Doi10.5772/2694

ISBN978-953-51-0129-1

eBook (PDF) ISBN978-953-51-5694-9

Copyright year2012

Number of pages214

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.

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Edited Volume and chapters are indexed in

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  • DOAB
  • Crossref
  • Dimension
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Table of Contents

Open access peer-reviewed  chapters

1. Kernel Methods for Dimensionality Reduction Applied to the «Omics» Data

By Ferran Reverter, Esteban Vegas and Josep M. Oller

2,065
3
4. Pharmacophoric Profile: Design of New Potential Drugs with PCA Analysis

By Érica C. M. Nascimento and João B. L. Martins

2,834
3
5. Empirical Study: Do Fund Managers Herd to Counter Investor Sentiment?

By Tsai-Ling Liao, Chih-Jen Huang and Chieh-Yuan Wu

2,406
7. Application of PCA in Taxonomy Research – Thrips (Insecta, Thysanoptera) as a Model Group

By Halina Kucharczyk, Marek Kucharczyk, Kinga Stanisławek and Peter Fedor

2,943
3
4,721
17
11. Public Parks Aesthetic Value Index

By M. K. Mohamad Roslan and M. I. Nurashikin

3,434

IMPACT OF THIS BOOK AND ITS CHAPTERS

35,661 Total Chapter Downloads

51 Crossref Citations

83 Web of Science Citations

117 Dimensions Citations

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